Cnn image classification tensorflowproiecte
called automatic labeling of reviews with Clustering, it can be done by automatic labeling of texts, you should have a set of reviews labeled positively / negatively and then run an automatic classifier that learns from these labels after to run such of the classifier you must first "clean" the text, remove all words without content, figure out what words you have left (bring them to the dictionary form) and then see if based on the remaining words the classifier can determine the class of your review: poz or neg .... with a small interface. Python has these clarifiers in English ... romanian: Se numește etichetarea automata a recenziilor cu Clustering, se poate face prin etichetarea automata a textelor, tu ar trebui sa ai un set de recenzii etichetate pozitiv/negativ si apoi s...
Am nevoie de cineva care stie matlab pe partea de image processing,histograme
Am nevoie de o aplicatie in tensorflow pentru comanda vocala, aplicatia trebuie sa fie in romana.
Am nevoie de un fotograf specializat in fotografie de produs. Produsele sunt ceasuri, 203 buc, care vot trebui fotografiate din 3 unghiuri( fata, lateral si spate). Rog cotatie separata pentru fotografii si procesare fotografii. _____________ I need a photographer specialized in product photography. The products are watches, 203 pcs, which must be shot from 3 angles (front, side and back). Separate quotation for photos and photo processing.
Doresc sa-mi fac Podcast si am nevoie de un cover. Create a 1400×1400 pixel image file in either JPG or PNG formats that will be used as the album cover for my podcast show. Podcastul va contine o serie de episoade in care vorbesc despre Pasiune cu diferiti oameni pasionati de pescuit, misiune, slujire, cantare, sport, speech, afaceri, fashionisti, calatori. Coverul sa contina ceva din subiectele astea. Sa scrie pe Imagine " Gh Podcast - Pasiunea, conteaza. Enjoy !" Astept exemple.
2 exercises with compress/decompress and regression/classification
Compress image on Cell BroadBand Engine
Este vorba despre un proiect in mathlab. Cred ca tu intelegi mult mai bine ceea ce se cere de la acest proiect. Nu vreau ceva complicat , doresc doar o simpla aplicatie.
Am o lucrare în curs de desfășurare, referitoare la proiectul anterior 'Custom html code for image slider'
do the pictures in black and white in color and retouching the photo to black and white Se poate retusa si pozele care au zgarieturi pe ele asa cum se vede la pozele de mai jos mai ales la cele cu domna se vede poza alb negru cum este si pe urma se poate vedea cum este color si retusata. O ZI BUNA
...NLP or other classification techniques to decide whether a posting is truly AI-related, then tag it by sub-domain (e.g. vision, NLP, MLOps, prompt-engineering). • Deliver concise, deduplicated listings to me through an in-app notification feed—no email or SMS required. For the deployment side I’m open to Python (Scrapy, BeautifulSoup, Selenium), Node, or any stack you are comfortable with so long as it is containerised and can run unattended on a small cloud instance. A lightweight web interface or Electron desktop app for the notification feed is ideal; you can suggest an alternative if it achieves the same user experience. Acceptance criteria 1. Agent successfully scrapes at least three live sources from each category—freelance, job board, and train...
I need a single image header for an email template revised. The only change required is to replace an existing broker-dealer logo with a new one. Requirements: - Update the image header with new broker-dealer logo - New logo is provided in PDF format Ideal Skills and Experience: - Proficiency in image editing software (e.g., Photoshop, GIMP) - Experience with handling and converting PDF logos - Attention to detail to ensure a seamless integration of the new logo
I need four custom visuals for my website that follow a professional, corporate aesthetic and support a product-showcase section. Each graphic must be 442 px × 220 px and supplied in both PNG and SVG formats. I will send reference samples along with our official brand palette, so you can match typography, color, and general layout while still adding a fresh creative touch. You are free to work in Illustrator, Figma, or any vector-friendly tool you prefer as long as the final SVGs remain clean and fully editable. Deliverables • 4 web-ready images in PNG (transparent background) • The same 4 images in editable SVG Please keep naming conventions tidy and organize the files so I can drop them straight into the site. Once the drafts are ready, a quick round of feedback ...
Hi Swapnil, please can you remove the background of all 84 of these images? Please can we have them back in both JPG & PNG, 2000x2000 & 600x600 The link to the images is here:
I have 1,105 JPEG images that all need the same simple routine: open the file, make three precise extractions exactly as shown in my attached step-by-step guide, and save each crop as a separate JPEG. No renaming rules are required—just let the software assign the default names. The whole workflow is already timed at about 30 seconds manually per source file when an action or script is set up in Photoshop, GIMP, Affinity Photo, or any other batch-capable tool you prefer. If you follow my directions to the letter, you should be able to finish the lot comfortably within an hour. This is a fixed-price job of USD $60.00 . There will be no adjustments, negotiations, or bids beyond that amount. To confirm you have read and accept these terms, your very first line must read exactly: &ld...
...rather than a connection issue. I need the search query time reduced to under 1 second (ideally instantaneous). Technical Environment: Framework: Laravel (Latest Stable). Server: Dedicated Server (USA based). Specs: 16GB RAM, 4 CPU Cores, 8 Threads. Database: MySQL / MariaDB. Storage: Images are stored on Backblaze B2 (Note: This project is strictly about fixing the database search speed, not the image loading speed). Scope of Work: Audit: Analyze the current Laravel query logic and database structure. Optimization Strategy: Propose the best architecture to handle 800k+ rows on my specific server hardware. You have full freedom to suggest the best method (e.g., Implementing a dedicated search engine, advanced caching layers, or optimizing MySQL indexes). Implementation: Set...
...extract everything a human can see on the page, plus the underlying data used to render it. What the scraper must do (high level) Given a product URL, the pipeline should: Load the page like a real user (handle cookies/overlays). Capture all content from multiple sources (DOM + network + interactions). Use GPT API strategically to increase accuracy (field mapping, variant extraction, doc classification, completeness checks). Output a strict, validated JSON record + optional Excel export. Data fields I need to extract (core) Required output fields: Product name manufacturer / brand description (clean, human-readable) images[] (high quality URLs, deduped; include context/alt when possible) documents[] (PDF/spec sheets/install guides/warranties/BIM/etc., classified) op...
...rather than a connection issue. I need the search query time reduced to under 1 second (ideally instantaneous). Technical Environment: Framework: Laravel (Latest Stable). Server: Dedicated Server (USA based). Specs: 16GB RAM, 4 CPU Cores, 8 Threads. Database: MySQL / MariaDB. Storage: Images are stored on Backblaze B2 (Note: This project is strictly about fixing the database search speed, not the image loading speed). Scope of Work: Audit: Analyze the current Laravel query logic and database structure. Optimization Strategy: Propose the best architecture to handle 800k+ rows on my specific server hardware. You have full freedom to suggest the best method (e.g., Implementing a dedicated search engine, advanced caching layers, or optimizing MySQL indexes). Implementation: Set...
...remote teams Required Skills Frontend Development React, , React Native TypeScript, JavaScript (ES6+) Redux Toolkit, React Query Tailwind CSS, HTML5, CSS3 Responsive UI design Progressive Web Apps (PWA) Backend and API Development Node.js, Java, Python, Go, C#, or .NET Core Flask, FastAPI, or Django REST APIs, GraphQL, or gRPC Microservices architecture Machine Learning and AI TensorFlow, PyTorch, Scikit-Learn, or similar frameworks Experience working with LLMs and modern AI frameworks Prompt engineering, RAG, or vector databases is a plus Cloud and DevOps AWS, Azure, or Google Cloud Platform Docker and Kubernetes CI/CD pipelines and deployment practices Data and Systems SQL or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Data processing and scalable...
...have in mind. A user hits /outline with a multipart upload, the API queues the image, runs the outline routine (OpenCV, scikit-image, or any library you prefer), inflates the path by the requested number of pixels or mm, then streams back plain-text SVG. A second, optional endpoint /health is enough for monitoring. The service must comfortably handle images up to roughly 30 MB without timing out. I’ll review the work against a small set of deliverables: • Fully-commented Python code built on FastAPI, uvicorn-ready • or listing every dependency • A sample request/response JSON and the generated SVG file • One annotated screenshot that shows your script outlining a real image and the offset path it produced • Concise README c...
I need a seasoned statistician who can move comfortably between classical regression techniques and modern Convolutional Neural Networks. The project centres on predictive analytics: you will build, compare and explain regression-based models, explore where a CNN adds value, and present the insights through clear, publication-ready visualisations created in Python (think pandas, scikit-learn, TensorFlow/Keras, matplotlib, seaborn or Plotly—use what fits best). We will begin with a brief video call so I can walk you through the dataset, the business question and the success metrics. After that, you will take full ownership of data preparation, model selection, training, validation and visual storytelling. Expect to hand back clean, well-commented notebooks and graphics ...
...using common sense and e-commerce best practices. --- The Workflow Search: Use the 'Product Name' to find the best matching image on Google. Selection (The "Intuition" Phase): We cannot verify every item for you, so we rely on your judgment. Heuristics: Choose images with plain white backgrounds where possible. Focus: The product should be centered and clearly in focus. Duplicate Image: The same images might be applicable to the multiple product names. --- Editing & Formatting: Size: Minimum 700x700 pixels. Upscaling: If the image is smaller than 700px, use an AI upscaler to reach the requirement without pixelation. Aspect Ratio: Must be 1:1 (Square). If the image is rectangular, add padding to the canvas - do not stretch t...
We are seeking a skilled WordPress developer/team to build a professional websit...be structured around work streams and sub-topics, and support multi-dimensional content tagging so that publications, news, events, surveys and videos can appear in multiple sections. Scope Includes Custom WordPress theme development Custom Post Types (Publications, Events, News, Surveys, Press Releases, Videos) Custom taxonomies: Work Streams → Sub-topics (hierarchical) Content Type classification Topic tags Dynamic landing pages for each work stream/sub-topic: Featured/pinned content Filterable content grids + sorting Publications repository with advanced filters Global search SEO setup + Google Analytics integration Contact forms, newsletter subscription, Google Maps Performance...
...(Route 53 + ALB / CloudFront). DNS is correctly configured and resolves properly on most networks (Google DNS, Quad9, etc.). Our domain reputation has already been reviewed and corrected by major security providers. However, users on T-Mobile are still experiencing DNS-based blocking or resolution issues. This appears to be related to carrier-level DNS filtering or residual reputation/security classification behavior — not core infrastructure misconfiguration. ⸻ Scope of Work • Diagnose carrier-level DNS blocking behavior • Analyze domain resolution differences across networks • Validate CloudFront / ALB / TLS configuration • Identify why T-Mobile resolvers still fail despite corrected reputation • Recommend and implement a permanent product...
...monitoring dashboards and retraining scripts Acceptance criteria A working API must return real-time predictions within agreed latency limits, integrate seamlessly with the current SMTP/ESP workflow, and include logging for compliance review. Final delivery is considered complete when the system runs in production and all documentation passes peer review. Tools & stack Python, scikit-learn or TensorFlow, SQL/NoSQL for data storage, and standard MLOps utilities (Docker, CI/CD) are anticipated, yet alternative libraries are welcome if they meet the same reliability and security standards. Timeline and milestones will be outlined together at project start, with code reviews scheduled at each major checkpoint....
...deep-learning model that can pick out identical human faces across images and video in real time. The core requirements are straightforward: • Detect every human face in an image or live stream, draw accurate bounding boxes, then compare each face against a gallery to decide whether it is an identical match. • Serve three environments without extra rewrites: security-grade CCTV feeds, social-media style mobile uploads, and large photo-management archives. • Deliver low latency on a single modern GPU while still running acceptably on CPU-only hardware for lightweight deployments. I’m comfortable with either PyTorch or TensorFlow/Keras; use the framework you know best. A pre-trained backbone such as ResNet, MobileNet, or Vision Transformer is fin...
...ExifTool, the system must extract and cross-reference: o GPS/Time Sync: Compare image lighting/shadows with the stated GPS location and time of day. GPS data should match seller’s declared location where the photos/videos were taken. o Device Fingerprinting: Identify the specific camera model and detect if the file was saved via editing software (Photoshop/Lightroom). • Blockchain Notarization: Upon upload, the file’s "Hash Value" (SHA-256) is recorded on a private ledger. This creates an unchangeable record of the file's state at the moment of upload, preventing future tampering. C. Infringement & Provenance Checking • Reverse Search: Automated "Search-by-Image" (Google Vision / TinEye) to ensure the photo isn't an o...
...combine traditional threat-intel techniques with machine-learning pipelines so the system continuously adapts as new data arrives. Here’s what success looks like to me: • A modular data-collection layer that can stream pcap, NetFlow, or similar log formats into a preprocessing engine. • Feature-engineering and model-training code written in Python (feel free to leverage Pandas, scikit-learn, TensorFlow, PyTorch—whatever best suits the task). • A detection component that scores incoming traffic and raises alerts via a simple REST API or CLI output. • Clear documentation covering setup, retraining, and how new data sources—such as endpoint events or social-media threat chatter—could be plugged in later. Because this is time-...
...stability, thermal management, and seamless connectivity transitions. Technical Specifications: 1. Camera Pipeline & Intelligent Routing: Implement CameraX to ensure maximum compatibility across various Android OEMs (Samsung, Pixel, Xiaomi, etc.). Develop a Routing Engine to ingest the camera stream and dispatch frames to two parallel modules: Offline Module: Local processing using ML Kit or TensorFlow Lite for immediate tasks (e.g., fast OCR, object proximity). Cloud Module: Optimized frame streaming (compressed JPEG/WebP) to the Google Gemini Flash API (target: 1-2 frames per second). 2. Smart Connectivity Fallback: Implement a robust network listener using ConnectivityManager / NetworkCapabilities. Automatic Failover: The system must detect low-latency or lost sign...
...Entity-level HR structuring (NL, US, and international operations) • Scaling strategy — building teams that grow with the business • Employer branding and talent attraction strategy HR Policies & Compliance (Longer Term) • NL/EU labor law compliance — employment contracts, working conditions, leave policies • US labor law compliance — at-will employment, state-specific regulations, W-2 vs. 1099 classification • International contractor/freelancer compliance across multiple jurisdictions • Building an employee handbook and standard HR policies • GDPR compliance for employee/candidate data Culture & Team Building • Developing culture and communication practices for distributed/remote teams • Onboarding process...
...Python-based tool that can scan video files, detect Trees, Road, Infrastructure—and leave room for many more object classes as the project grows—then save every relevant frame straight into a MySQL database. Each stored image must be linked to the corresponding frame number and any detection metadata so I can later query, filter, and analyse the results. Once the data is stored, I want a lightweight viewer that steps through the saved frames in order, overlaying the detection boxes so I can visually confirm accuracy. OpenCV for frame extraction and display is acceptable; YOLO, TensorFlow, or another modern model is fine so long as the code is clean, well-commented, and easy for me to retrain with additional classes. To keep the hand-off smooth, please include...
...Automation Product Data Extraction, Deduplication & Structured Image Collection Project Overview We are an industrial automation parts distributor building a structured product database to support inbound enquiries and SEO growth. We require an experienced data extraction specialist to: Extract structured product data from major industrial / electronic component distributor websites Identify duplicate manufacturer part numbers across multiple sources Merge all unique information into a single consolidated dataset Extract and organise all available product images per part number Deliver a clean, deduplicated, production-ready dataset This project includes: Data extraction Normalization Deduplication Intelligent merging Structured image collection and organi...
I have uploaded the attached image. I need to get done: - A PNG file, a high-quality Photoshop file with all the layers - A color code or color card of all the colors that we are using The output file should be exactly the same image that I've uploaded, which is of a lower quality. I needs to be completed in 1 day. Image:
...rewrite. On the modelling side, I want a workflow that lets me start a new model from scratch, feed in data, train, save, and then reuse that model inside the video generator. Ideally this is handled behind a clean dashboard rather than command-line steps. Core expectations • Intuitive UI/UX for both the video creator and the model-training console • Scalable backend (Python, PyTorch/TensorFlow, or comparable) with GPU support • Real-time preview for voice and style selections • Secure user accounts and storage for datasets, models, and rendered videos • Source code, build instructions, and a short hand-off call on completion If you have a reusable codebase or experience with generative media tools such as Stable Diffusion, FFmpeg, or J...
...and clean mastering. A confident, articulate tone is essential; think boardroom presentation rather than casual chat. Once the audio is ready, please sync it precisely with the images, add tasteful motion effects or subtle zooms where they help, and deliver a final file ready for Instagram and LinkedIn. Feel free to recommend the ideal runtime and aspect ratio, and let me know if you need any image specs from me up front. I’m aiming for a quick turnaround and a result that looks and sounds executive-level. per video i can pay 50 . And you can be my permanent editor .....
Szukam doświadczonego developera, który stworzy dla mnie bot...środki rzeczywiste. Po stronie technicznej liczę na: • Model uczenia maszynowego lub kombinację algorytmów statystycznych reagujących w sekundowym interwale. • Integrację z order book, jeśli pozwala na to przepustowość API. • Dashboard lub prosty panel www/CLI do podglądu metryk, stanu konta i ręcznej interwencji. W zgłoszeniu napisz, proszę: 1. Jakiej dokładnie architektury i bibliotek (TensorFlow, PyTorch, CCXT, itp.) zamierzasz użyć. 2. Szacowany czas realizacji poszczególnych etapów. 3. Koszt wykonania oraz model późniejszego utrzymania i aktualizacji. Zależy mi na długofalowej współpracy i stabilnej rentowności, przy pełnej świadomości ryzyka ...
...the beginning, there will be no photo uploads in reviews — only structured attributes and written comments. The focus is on clean data collection and aggregation. Each product page should include: • Structured review-based comparison bars (generated dynamically from user-selected attributes) • Tag system based on recurring themes in feedback • Ingredient (INCI) analysis section with clear classification (e.g., well-tolerated, neutral, potentially problematic ingredients) • Clear categorization (makeup, skincare, hair, body, brands) • Admin panel to manage products, tags, ingredients, and aggregated data The system should be scalable and built with long-term growth in mind. The key challenge is creating a smart structure that allows reviews (b...
I have a single reference image that needs to be redrawn so every text element can be changed freely later on. All I’m after is a clean, layered Illustrator (AI) file that mirrors the layout, colours, and proportions of the original artwork. I will supply the exact replacement wording once the editable file is ready, so please keep each text block on its own layer and use common fonts or outline them if necessary. Because the artwork is already designed, this should be a quick task for anyone comfortable in Adobe Illustrator—no new creative concepts required, just an accurate, pixel-perfect recreation that I can open and edit immediately. Deliverable: • Fully editable .ai file that matches the provided image 1:1, with organised layers for text and graphics.
...a researcher who can build a production-ready model that listens to a baby’s cry, watches the paired video, and decides—reliably—whether the cause is hunger, discomfort, or simple attention seeking. Audio and video must be fused inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and ...
...Object storage (S3 or equivalent) Production deployment (AWS / DigitalOcean / similar) API architecture design Handling long-running async workflows Bonus: Experience with AI APIs (OpenAI / Anthropic) Experience with document parsing Cost optimisation for AI workloads NOTE: The Core Challenge We process building inspection PDFs (50–70+ defects per document). Each defect requires: AI classification Structured extraction Cost estimation logic Controlled pricing variance (not wide AI guesses) The system must: Handle multiple reports processing simultaneously Avoid timeouts Avoid race conditions Avoid pricing inconsistencies Maintain state safely across long workflows NOTE: DO NOT APPLY IF: You primarily build WordPress sites You are a UI/UX designer on...
PLEASE ENSURE YOU UNDERSTAND AMAZON HERO IMAGE SPECIFICATIONS OTHERWISE YOU ARE WASTING YOUR TIME!! I have a set of raw product photos for a 6-pair pack of safety gloves that need to be transformed into one high-impact hero image for my Amazon store. The goal is to boost clarity, sharpness and colour so the gloves look vibrant and appealing while still realistic. Key visual cues I want brought forward are the dark, firmly coated palm area, the gloves’ subtle touchscreen compatibility and the fact that the pack contains 6 pairs. You can showcase these elements graphically or with concise on-image text—whichever reads best on Amazon’s search results page. The composition and angle are completely flexible; feel free to move away from the sample layou...
Hi Basma, Could you please help us with another project - we need to make the land in the outlined section of this drone image more similar to the close up images of this land - the drone makes the land look very green whereas it is actually more dirt than grass. We want to make it look more dirt coloured and textured, as it actually is up close - are you able to assist with this? Thanks!
...HERO IMAGE SPECIFICATIONS OTHERWISE YOU ARE WASTING YOUR TIME!! please read requirements for Amazon hero product so you don't waste your time - most text and additional graphics are not allowed so more focus on improving glove image quality and small touchscreen elements and pack sizes etc I have a set of raw product photos for a 6-pair pack of safety gloves that need to be transformed into one high-impact hero image for my Amazon store. The goal is to boost clarity, sharpness and colour so the gloves look vibrant and appealing while still realistic. Key visual cues I want brought forward are the dark, firmly coated palm area, the gloves’ subtle touchscreen compatibility and the fact that the pack contains 6 pairs. You can showcase these elements gra...
I need an image classification AI model to run on a Raspberry Pi 4. This model will detect whether individuals are wearing PPE kits in static images. The primary application will be in industrial sites. Key Requirements: - The model should accurately classify images as 'PPE' or 'No PPE'. - It needs to be optimized for performance on Raspberry Pi 4. - The input will be static images, not live feeds or videos. Ideal Skills and Experience: - Proficiency in AI and image classification techniques. - Experience with model optimization for edge devices, especially Raspberry Pi. - Background in developing AI solutions for industrial applications is a plus. - Ability to deliver a robust and efficient model within budget constraints.
I need an AI-generated image converted into an SVG format for a logo. The logo should incorporate specific colors, primarily red and black. Requirements: - Convert AI-generated image to high-quality SVG - Use red and black colors as specified - Minimalist, detailed, or abstract style (user preference to be determined) Ideal skills and experience: - Proficiency in graphic design and SVG creation - Experience with AI-generated images - Strong attention to color accuracy and detail Please provide samples of previous work.
I have a JPEG that I’ll be using to promote an upcoming event, but its current resolution won’t hold up when enlarged. I need the image professionally up-scaled, cleaned, and optimized so it prints crisply on a 6 × 4 ft banner. Please preserve every visual detail and color while eliminating any pixelation or compression artifacts. The final file should be press-ready in CMYK, with appropriate bleed and crop marks, and supplied in a high-resolution PDF or layered TIFF so my print shop can adjust if needed. If vector re-creation is the best route to achieve flawless sharpness, feel free to do so—just make sure the finished banner looks pristine from any viewing distance.
