The ultimate guide to hiring a web developer in 2021
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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.
从26,653个评价中,客户给我们的 Computer Vision Experts 打了4.9,共5星。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.
从26,653个评价中,客户给我们的 Computer Vision Experts 打了4.9,共5星。We need an experienced WebAR / computer vision developer to create a browser-based virtual piercing try-on. Users should open a webpage on iPhone/Android, activate the camera, and see a virtual stud realistically positioned on their ear. The key challenge is reliable ear/eartlobe tracking while the head moves. This is NOT a request to copy existing commercial software. We want an independently developed solution using open-source or approved licensed technology. FIRST MILESTONE – PAID PROOF OF CONCEPT Deliver a working browser demo that: * Uses live mobile camera * Detects/tracks the head and ear * Places a virtual 2–4 mm stud on the earlobe * Keeps the stud reasonably anchored during head movement/rotation * Works on iPhone Safari and Android Chrome Possible stack: Media...
I’m looking for a skilled mobile developer who can deliver a polished face-swap application that runs natively on both iOS and Android. The app must handle two core scenarios: • Real-time face swapping through the camera preview • Face swapping on photos selected from the user’s gallery After a swap, users need a smooth way to share the resulting image or short video straight to their favourite social platforms via the standard system share sheets or integrated APIs. Performance and believability are key; I expect fast, well-aligned swaps that hold up under normal lighting and movement. You’re free to choose the toolkit—OpenCV, MediaPipe, ARKit/ARCore, or another reliable library—as long as the final builds pass store review and run well on cu...
I have hours of CCTV footage from 5-a-side and 7-a-side turf matches and I want an end-to-end computer-vision pipeline that turns every recording into clear, per-player metrics. The system must treat fitness and football performance with equal weight. For fitness I care most about minutes played, distance covered and calories burned; for football performance the priorities are goals and shots. Anything else you can derive is welcome, but these numbers must be rock-solid. What I expect you to build • A repeatable pipeline that ingests raw CCTV video, detects and re-identifies each player, tracks their movement through the entire match and exports a CSV/JSON report plus simple visual overlays. • Fitness layer: automatic calculation of minutes on pitch, total distance, speed p...
I need a reliable hand to draw clean, tight bounding boxes on a set of images so I can feed them straight into an object-detection pipeline. Every occurrence of the target object in each frame must be boxed precisely—no clipped edges or excessive margins—so the model learns from accurate ground-truth data. You are free to work in any mainstream annotation tool you prefer (LabelImg, CVAT, Labelbox, VGG, makes no difference to me) as long as the final export matches the format I’ll specify before we kick off—COCO JSON or YOLO-style TXT are both fine. Please keep category labels consistent across the entire batch. Deliverables • Fully annotated image set with bounding boxes around every instance of the specified object(s) • Corresponding annotation file...
I'm looking to create engaging skits using computer vision technology for entertainment purposes. Key Requirements: - Develop creative and entertaining skit concepts leveraging computer vision. - Implement computer vision techniques like object detection or image classification. - Collaborate on scripting and staging for the skits. Ideal Skills: - Strong background in computer vision. - Creative thinking and experience in entertainment production. - Good scripting and storytelling skills.
My 3D scanner streams PCD point-cloud files that contain spiral-shank bolts mixed with other hardware. I need a compact, CUDA-friendly C++ solution that runs directly on an NVIDIA Jetson Orin NX, spots every bolt in each cloud, records the head-center XYZ (and, if practical, its axis direction), and writes the results to a structured XML file. Performance targets • Accuracy: at least 95 % correct identification on the annotated dataset I will supply. • Speed: real-time or near real-time processing on the Orin NX under the standard JetPack image. You are welcome to build on open-source libraries such as PCL, Open3D, Eigen, cuBLAS or TensorRT, provided everything can be compiled through CMake and redistributed without license issues. Deliverables • Well-documented...
I need a Windows application to automate a PS5 user-switching workflow shown in my video. The software should use an HDMI capture card and computer vision (OpenCV/template matching/OCR) to detect what is currently displayed on the PS5 before performing each action. I do NOT want a simple fixed-delay macro. Workflow: Private Match → PS5 Control Center → Profile → Switch User → select next pre-added profile → return to the game → handle “Your profile was signed out” if shown → wait for “Downloading Game Settings” to finish → verify Private Match is loaded again → automatically repeat with the next profile. The developer must also provide a reliable method for the Windows PC to send controller inputs to the PS5, including...
We are looking for experienced Robotics Video Annotation Specialists to support an ongoing video annotation project. Prior experience with robotics data annotation is required. Experience working on Annotask or similar annotation platforms is strongly preferred, as familiarity with annotation workflows and task-based interfaces will be helpful. What you will do You will review robotics-related video data and complete annotation tasks based on detailed project guidelines. Accuracy and strict adherence to the provided rules are important. The initial requirement is to complete 2 tasks within 6 hours after receiving access and the assigned tasks. Qualification process Before starting paid tasks, selected candidates will receive the project guidelines and will need to complete a short qu...
I’m building a dataset to train computer-vision models, and I need recordings from 100 native residents of India performing simple head gestures. Each participant will record a short video in which they: • Nod up-and-down • Shake side-to-side A neutral background, steady lighting and the phone held at eye level are all that’s required; no special equipment beyond a standard smartphone camera is necessary. The clip can be silent, rotated in portrait or landscape, and should last roughly 15–20 seconds so both motions are clearly visible. Deliverables for you: 1. One MP4 or MOV video per participant labelled with a unique ID. 2. A brief text file (CSV or XLSX) mapping each ID to age range and gender for diversity tracking. 3. Written confirmation that ...
I’m building a browser-accessible tool that can take an image uploaded by the user, run it through an AI model, and immediately return classification or detection results on-screen. All core logic must live server-side, exposed through a clean REST or GraphQL endpoint, so the front-end remains lightweight and responsive across modern web browsers. Key expectations • Model accuracy matters: please start with a proven open-source architecture (e.g., YOLOv8, ResNet, EfficientDet) fine-tuned on a small sample set I’ll provide, then document how to retrain it when new data arrives. • One-click deploy: include a Dockerfile and concise README so I can spin everything up on a fresh VPS. • Results returned as JSON plus visual overlays (bounding boxes or masks) rend...
I'm seeking a consultant to optimize a Machine Vision system, specifically to enhance processing speed. Key requirements include: - Expertise in VMV programming, particularly in Machine Vision. - Experience in system optimization. Ideal Skills and Experience: - Strong background in Machine Vision technologies and algorithms. - Proven track record in optimizing processing speed for Machine Vision systems. - Ability to analyze and improve system performance metrics. Please provide relevant experience and approach to the task.
I am assembling an end-to-end solution that can reliably follow the same individual across multiple cameras while keeping their facial identity hidden and their personal data footprints minimal. The goal is to balance privacy and utility, not to sacrifice one for the other. What the build must cover • Facial obfuscation that can be reversed only by authorized parties • Robust multi-camera tracking and re-identification pipelines • Quantitative privacy-assurance metrics that prove the strength of the protection I will look to you to design the core AI/CV architecture, code and train the models, wire them into a working prototype, and document measurable results on standard datasets. If you are comfortable blending deep-learning vision models, LLM-based policy logic, a...
Developer/Engineer Needed for IoT System – Android + ESP32 + Computer Vision + Cloud I am looking for an experienced developer or engineer to build a prototype of an integrated smart IoT device, with the possibility of continuing the collaboration to develop the complete system. The project requires experience with Android, ESP32, IoT, Computer Vision, hardware integration, backend development, and cloud systems**. Project Components The system will use an Android Industrial Panel PC as the main processing and display unit. The requirements include: - Camera integration with Computer Vision / Face Recognition. - Face recognition should preferably run locally on the Android device. - The system should prevent the same recognized face from performing another operation for 20 min...
I am expanding an existing embodied-AI stack and now want to double-down on Vision-Language-Action modelling. The core goal is to design, train and scale a full pipeline that takes raw multimodal data, learns a joint representation and closes the loop all the way to real-time action on a physical robot. You will start from large, messy datasets (images, video clips, proprioception, language annotations) that already sit on our cluster. The job is to craft a new architecture in PyTorch, schedule distributed training, and iterate until the model achieves reliable closed-loop visuomotor reasoning in simulation and on hardware. Robust multimodal representation learning, a world-model/JEPA component, temporal memory, and predictive control need to come together in a single, maintainable codeba...
Yalnızca fotoğraflar üzerinden çalışacak, yapay zekâ destekli bir yüz tanıma çözümüne ihtiyacım var. Görüntü işleme alanında deneyimli biri, Python tabanlı bir çalışma tercihimiz olmak üzere OpenCV, face_recognition kütüphanesi, TensorFlow veya PyTorch gibi yaygın araçlarla ilerleyebilir. Beklediğim çalışma: • Yüklenen tekil veya toplu fotoğraflarda insan yüzlerini tespit edip işaretleyen bir model/uygulama • Tanınan yüzlerin konum ve güven skorlarını JSON veya benzeri bir çıktı formatında raporlama • İstersem aynı görüntü üzerinde kutucukla işaretlenmiş ön-izleme görseli üretebilme • Kurulum talimatları ve ...
I’m starting from scratch with CAD and I want to design, refine and ultimately 3-D-print a fully functional robot arm. Functionality takes priority over looks, so every lesson and exercise should revolve around kinematics, load paths and how the parts will be printed, assembled and actuated in the real world. I’m a complete beginner, so I need you to walk me through the entire workflow: setting up a clean CAD project, sketching joints and links, applying constraints, preparing STL files, choosing tolerances for FDM printing, and testing clearances once the parts come off the printer. I haven’t settled on a platform yet; if you’re most comfortable in SolidWorks, Fusion 360 or even AutoCAD, I’m happy to follow your lead—just keep the explanations clear an...
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