The ultimate guide to hiring a web developer in 2021
If you want to stay competitive in 2021, you need a high quality website. Learn how to hire the best possible web developer for your business fast.
Computer Vision is the process of using tools and algorithms to gain high-level understanding from digital images or videos. It is a subset of the field of Artificial Intelligence. In the current age, computer vision has been applied to various practical problems including facial recognition, medical image analysis, vehicle detection, and automatic victim detection in disaster scenes. By leveraging Convolutional Neural Networks (CNN), computer vision can be used to improve accuracy and precision of many tasks that used to require human labor.
A Computer Vision Expert is a specialist in Computer Vision algorithms, machine learning, neural networks, deep learning and more. A Computer Vision Expert can build projects from scratch or customize existing models for various problems like image classification and segmentation, object detection and tracking,video analysis, image restoration and enhancement. In addition, they can offer the latest techniques and technologies such as deep learning to increase accuracy results and speed up task times.
Here's some projects that our expert Computer Vision Experts made real:
Computer Vision Experts have done an impressive job in creating the projects mentioned above, showcasing their willingness to take on all kinds of challenges. We invite you to post a new project on Freelancer.com and hire a Computer Vision Expert to work on your vision project and make it become a reality.
From 27,053 reviews, clients rate our Computer Vision Experts 4.9 out of 5 stars.Computer Vision is the process of using tools and algorithms to gain high-level understanding from digital images or videos. It is a subset of the field of Artificial Intelligence. In the current age, computer vision has been applied to various practical problems including facial recognition, medical image analysis, vehicle detection, and automatic victim detection in disaster scenes. By leveraging Convolutional Neural Networks (CNN), computer vision can be used to improve accuracy and precision of many tasks that used to require human labor.
A Computer Vision Expert is a specialist in Computer Vision algorithms, machine learning, neural networks, deep learning and more. A Computer Vision Expert can build projects from scratch or customize existing models for various problems like image classification and segmentation, object detection and tracking,video analysis, image restoration and enhancement. In addition, they can offer the latest techniques and technologies such as deep learning to increase accuracy results and speed up task times.
Here's some projects that our expert Computer Vision Experts made real:
Computer Vision Experts have done an impressive job in creating the projects mentioned above, showcasing their willingness to take on all kinds of challenges. We invite you to post a new project on Freelancer.com and hire a Computer Vision Expert to work on your vision project and make it become a reality.
From 27,053 reviews, clients rate our Computer Vision Experts 4.9 out of 5 stars.I need someone to analyse whether an image is AI generated / fake of myself. I have sent someone a real image which they are sharing they have found images of me online of a sexual nature which I also have and want this analysed please More details: Is this project for business or personal use? Personal What information should successful freelancers include in their application? Experience How soon do you need your project completed? ASAP
I need help to reduce overfitting in my hybrid vision transformers/CNN model for prostate cancer classification. Current setup: - Training on medium resolution image data - Data augmentation applied, but only one technique Ideal skills and experience: - Strong background in deep learning, especially with vision transformers and CNNs - Expertise in image data processing and augmentation techniques - Experience with model optimization and overfitting reduction
Title: Create a Custom Sign Language Image Dataset (Alphabets, Numbers, and 20 Word Gestures) Project Overview I am developing a computer vision model that recognizes complete sign language gestures, including alphabet signs, number signs, and common word gestures. To train the model, I need a custom image dataset of sign language gestures captured as still images. The dataset should use one consistent sign language system (for example, American Sign Language – ASL). Please specify which sign language you will use. Only images are required. No video is needed. Dataset Requirements The dataset should include: 26 alphabet signs (A–Z) 10 number signs (0–9) 20 common word gestures Total gesture classes: 56 gesture classes Example word gestures may include: hello thank_you ple...
We are seeking a dedicated and experienced Punjabi language tutor for online lessons. The ideal tutor should be fluent in Punjabi (spoken and written) and able to teach grammar, vocabulary, pronunciation, and conversational skills in a clear and engaging way. Prior teaching experience and a structured approach to lessons are preferred. Requirements: • Strong command of Punjabi • Ability to teach online via video platforms (Zoom, Google Meet, etc.) • Patience and good communication skills • Flexible scheduling options If you are passionate about teaching Punjabi and can provide interactive, personalized lessons, please reach out with your details, availability, and teaching approach.
Project Overview: I am seeking a highly skilled n8n Automation Expert to develop and deploy a sophisticated, end-to-end content generation engine on my own n8n instance. The goal is to automate SEO-optimized article writing, AI image creation, and multi-platform social media distribution while using Google Sheets as a central database for content management and duplication prevention. Required Workflow & Technical Logic: Smart Trigger & Duplicate Prevention (Google Sheets): The workflow must run on a Cron Job (scheduled). Before generating any content, the system must query a specific Google Sheets file to ensure the topic or title has not been used previously. After a successful run, the workflow must append the new Title, Date, and WordPress Post URL to the sheet to prevent ...
We are conducting a research project in Geospatial Artificial Intelligence and Remote Sensing that supports an academic manuscript submission to journals such as: ISPRS International Journal of Geo-Information IEEE Journal of Selected Topics in Applied Earh Observations and Remote Sensing The system integrates: Satellite image processing Computer vision object detection Large Language Model (LLM) enrichment Retrieval-Augmented Generation (RAG) The engineering system already exists. Your role is to design and execute rigorous ML experiments and evaluation pipelines to support publication-quality results. Infrastructure and deployment will be handled by a DevOps engineer. System Architecture The pipeline is based on the AWS open-source geospatial processing framework: OSML ModelRunner Refer...
I need to embed two core AI capabilities into my current workflow: a predictive-analytics engine driven by machine-learning techniques and an image-recognition module powered by computer vision. Both tools should be production-ready, well-documented, and callable through REST or Python APIs so they slot cleanly into our existing stack. The predictive component will ingest historical data that I will provide (CSV and SQL sources) and return forward-looking metrics such as demand forecasts and risk scores. Accuracy must be benchmarked against a held-out test set, with clear reporting on feature importance and model performance (precision, recall, F1). The image-recognition piece will classify and tag uploaded photos, surfacing confidence values for each label. A lightweight front-end demo ...
I need software that detects temperature gradients in stitched, high-resolution images. Requirements: - Analyze thermal images, focusing on temperature gradients. - Generate detailed reports on detected anomalies. - Input format: RJPG. Ideal Skills: - Experience in image processing and thermal analysis. - Proficiency in software development for anomaly detection. - Knowledge of report generation based on image data. Please include relevant experience in your application.
I am commissioning a 60–70 page dissertation on “Detection of deep-fake images and videos (including voice modulation) using AI.” Academic presentation is essential; please apply a formal scholarly layout with in-text citations and a full reference list. I am flexible on the exact style (APA, MLA, Chicago) as long as it is applied consistently and meets university standards. Research approach I only need a thorough, critical literature review—no primary experiments or case studies. The writing should synthesise current peer-reviewed work on computer-vision techniques, GAN identification, forensic audio analysis, multimodal fusion, and emerging AI counter-measures, weaving these strands into a cohesive argument that highlights research gaps and future directi...
We are conducting a research project in Geospatial Artificial Intelligence and Remote Sensing that supports an academic manuscript submission to journals such as: ISPRS International Journal of Geo-Information IEEE Journal of Selected Topics in Applied Earh Observations and Remote Sensing The system integrates: Satellite image processing Computer vision object detection Large Language Model (LLM) enrichment Retrieval-Augmented Generation (RAG) The engineering system already exists. Your role is to design and execute rigorous ML experiments and evaluation pipelines to support publication-quality results. Infrastructure and deployment will be handled by a DevOps engineer. System Architecture The pipeline is based on the AWS open-source geospatial processing framework: OSML ModelRunner Refer...
The project is a short series of adult videos in which I need the actress’s face replaced with that of a fictional character I generated with AI. The finished footage must look completely authentic—skin tones, lighting, eye-line, micro-expressions, everything—so a photorealistic approach is essential. All raw 4K source scenes are ready to share. I also have a base model of the character’s face; however, the dataset still needs polishing before training. I’ll rely on you to refine that set, handle training, and composite the swap seamlessly back into the footage. Tools such as DeepFaceLab, FaceSwap, or your preferred deep-learning pipeline are fine, provided the final output holds up at full resolution without uncanny artifacts. Subtle colour grading or mino...
I need an end-to-end face-recognition attendance solution that splits its workload between a Raspberry Pi at the edge and a lightweight cloud frontend. On the edge – The Raspberry Pi must run an optimised computer-vision model that can detect and recognise multiple faces in the same frame, then immediately tag each recognised person with a timestamp. All inference happens locally; only the processed results travel to the cloud, never the raw video. Model size, frame rate and power draw have to suit a typical Pi 4 with a standard camera module. Connectivity & data flow The Pi should expose a small, secure REST or MQTT service that pushes attendance events to the cloud and retries automatically if connectivity drops. A simple enrolment script should let me add new faces direc...
I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialise...
I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...
Title: AI Developer Needed – Simple Art Image Analysis Web App (Prototype) Project Description: I am looking for an AI developer to build a simple prototype (MVP) of a web application that analyzes images of artworks. The application should allow a user to upload an image of a painting or artwork and receive a basic AI-generated analysis. This is an early-stage prototype, so the solution can use existing AI models or APIs. The goal is speed and simplicity. Core Features: - Upload artwork image - Image analysis using an AI model - Detect artistic style or possible artist - Generate a short explanation about the artwork Examples of artworks: - The Starry Night – Vincent van Gogh - Mona Lisa – Leonardo da Vinci Preferred Technologies (flexible): - Python ...
I'm seeking an experienced ROS2 developer to implement navigation and path planning for a robot in mixed environments (both indoor and outdoor). The project is urgent and needs to be completed as soon as possible. Key Requirements: - Develop robust navigation algorithms - Ensure reliable path planning in mixed environments - Integrate with existing ROS2 framework - Test and validate in real-world scenarios Ideal Skills: - Proficiency in ROS2 - Strong background in robotics navigation - Experience with mixed environment challenges - Ability to meet tight deadlines - experience with clear path jackal robot is good Please provide examples of similar work done and your estimated timeline for completion.
I need a YOLOv8 model trained to detect and classify approximately 12 types of fishing vessels from provided images. The dataset will be in YOLO/COCO format. Requirements: - Target accuracy: ~90%+ - Input image resolution: 1280x1280 - Performance metrics: Precision, Recall, F1 Score - Inference optimization: Balanced between speed and accuracy Deliverables: - Trained weights (.pt) - Training script - Inference code Ideal Skills & Experience: - Expertise in YOLOv8 and PyTorch - Experience with object detection and model training - Familiarity with performance metrics and optimization techniques
I'm seeking a Python RPA expert specializing in computer vision-based (Offline) web scraping for a web search and document download project. You'll scrape sites, download/classify documents (e.g., public records via CV/NLP), design neural networks for extraction, and build scalable workflows. Patience for alpha testing, finetuning iterations is key. Key Requirements: • Pure Python RPA, with the core orchestrator, no third part tool. • Web navigation/ scraping with Selenium/Playwright: document download, classification, OCR/text extraction. • Build/train neural networks (e.g., CNNs for image doc classification). • NLP expertise with spaCy for entity extraction. • Computer vision using TensorFlow/OpenCV (offline Vision Libraries preferre...
I’m building a proof-of-concept layer that intercepts any image or video delivered through a web browser and automatically replaces detected humans or animals with a neutral “shadow” placeholder. The aim is to strip away elements that might provoke irrational responses while keeping the surrounding media unchanged. Here’s what I need you to deliver: • A working browser-based solution (extension, local proxy, or another approach you propose) that processes both static images and streaming video in real time. • Reliable detection of people and animals using modern computer-vision tools (e.g., TensorFlow, OpenCV, YOLO, or alternatives) and seamless substitution with a non-identifying silhouette or blurred overlay. • A simple toggle UI so users can...
I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...
I’m building an MVP that inspects coal quality from both photos and short videos. The system must return a simple breakdown—e.g., “Coal 75 % / Stone 25 %”—and lay the groundwork for optional size-distribution analysis in later releases. What you’ll have to work with • A batch of truck-loading videos and corresponding lab quality reports. Phased scope Phase 1 – Extract still frames from the supplied videos and organise them into a clean, labelled image set. Phase 2 – Train a computer-vision model (YOLO or a comparable CNN in Python) able to distinguish coal from stone. Baseline accuracy is sufficient for now; we can iterate later. Both real-time and batch inference modes should be supported. Phase 3 – Wrap the model in...
We are looking for a web designer to create a corporate website (14 pages) for a company specializing in construction material installation and public facility construction. Requirements: Responsive design (PC / Tablet / Mobile) Clean and modern design Attention to detail -We Provide: Text and images Preference: Female designers preferred. Please send: Portfolio Estimated timeline Your price. reference site:
OpenCV Hill Climb Project – Description Project Title: Autonomous Hill Climbing Robot using OpenCV Project Description: Developed an AI-based computer vision system using OpenCV and Python that enables a robot/vehicle to automatically detect and climb slopes or hills. The system processes real-time camera input to analyze terrain conditions such as slope direction, obstacles, and surface edges. Implemented image processing techniques like edge detection, contour detection, and gradient analysis to determine the steepest safe path for climbing. Applied the Hill Climbing optimization algorithm to continuously choose the best next movement direction based on terrain analysis. Integrated real-time decision making so the robot adjusts movement dynamically while climbing uneven surf...
We are hiring remote contributors to create photo-based language data using everyday materials found around you. This project focuses on collecting natural, real-life text captured through a phone camera. What You’ll Do - Photograph common objects that contain written text (printed or handwritten). - Provide three unique shots per item, changing position, distance, or lighting. - Ensure content is original and varied. - Most of the visible text (minimum 75%) must be in your local language. Eligibility - Fluent in the target language (native or near-native). - Physically located in a country where the language is used. - Own a smartphone capable of taking clear photos. How It Works - Upload images through a Google Form. - Submissions are reviewed individually. - Only valid, clear, ...
Poker Vision and GTO Analysis Tool — Developer Specification Objective Develop an offline application that analyzes recorded poker footage, screenshots, or manually entered hand data to detect the game state and generate GTO-based recommendations for post-session review and training. The system is intended for study and hand analysis only. It must not provide live in-game assistance. Scope The application should: • Detect hole cards, community cards, player positions, pot size, bet sizing, and approximate stack sizes from recorded media. • Reconstruct the full hand state in a structured format. • Pass the reconstructed state into a GTO analysis module or solver-based recommendation engine. • Display recommendations, alternative lines, and relevant metrics...
If you want to stay competitive in 2021, you need a high quality website. Learn how to hire the best possible web developer for your business fast.
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