Penglihatan Komputer Jobs

Project Description: Developed an end-to-end AI-powered medical intelligence platform for analyzing chest X-ray images and assisting with disease prediction. The system uses Deep Learning with DenseNet121 to classify X-ray images into five categories: Normal, Pneumonia, Atelectasis, Cardiomegaly, and Effusion. Integrated Grad-CAM Explainable AI (XAI) to generate visual heatmaps highlighting regions of the X-ray that contributed to the model's prediction. Built REST APIs using FastAPI for image upload, prediction, model information, and health monitoring. The platform also supports prediction history and is designed for integration with AI-assisted medical report generation using LLMs. Key Features 1. Medical Image Analysis – Processes chest X-ray images using deep learning. 2. ...

Busco un técnico o desarrollador que diseñe, implante y entregue funcionando un sistema automático para estudiar partidas de póker cash en vídeo. El objetivo final no es un resumen: necesito una base de manos verificables, matrices de rangos observados y análisis de jugadores. MI FORMA DE TRABAJAR Dispondré de una carpeta de Google Drive con una hoja de seguimiento y un PDF de requisitos. Mi única operación habitual debe ser añadir enlaces de vídeos de YouTube. El sistema debe detectar los nuevos enlaces, procesarlos, actualizar su estado y guardar los resultados en Drive sin que yo tenga que ejecutar comandos, copiar datos ni mantener el ordenador encendido. QUÉ DEBE HACER - Analizar el vídeo visu...

I’m looking for a Python-based workflow that takes my equirectangular photo collection and, for any two images I select, confirms whether they were shot from the same angle. Beyond the yes/no decision, the script must also: - check whether they are connected • calculate the scale ratio between the pair, - the angle yaw and pitch they connected • assign a reliability/confidence score to its assessment. sample dataset : i run the progam using cli, json output is fine All results should be written to a concise text report that I can easily parse or forward—feel free to suggest the most convenient plain-text structure. You’re free to use OpenCV, scikit-image, NumPy, or any other well-supported libraries so long as installation remains straightforward (p...

I have a collection of static images and I need a Python-based solution that can reliably identify two photos are shooting in the same angle. The program can tell me the scale between two photos and the reliability Deliverables • A well-documented Python script or notebook • Trained model weights (if applicable) • A short README explaining setup, expected input format, and how to run inference on new static images Acceptance criteria • Minimum 90 % detection accuracy on the test set I provide Let me know if any clarification is needed before you start; otherwise, I’m ready to share the image dataset so you can begin right away.

Remote Sensing + AI/ML Model for Identification of 10 Major NTFP Species in Jharkhand, India We are looking for an experienced "Remote Sensing / Computer Vision / Geospatial AI developer" to develop or fine-tune an AI/ML model capable of identifying and mapping "10 major Non-Timber Forest Product (NTFP) tree species in Jharkhand, India" using remote sensing imagery. Target Species 1. Sal 2. Mahua 3. Kusum 4. Tamarind 5. Kendu 6. Palash 7. Chironji 8. Amla 9. Harra 10. Bahera Objective The objective is to develop a reliable workflow that can identify these species from remote sensing data and ultimately generate a **species-wise tree inventory/map**, including tree locations and counts. Scope of Work We are open to either: Developing a new model from scratch or F...

I'm looking for a senior developer with hands-on experience defeating Arkose Labs FunCaptcha (specifically the newer game variants such as hopscotch_highsec / hopscotchv3) in a headless / API-based pipeline. ▎ ▎ I already have a working Node.js codebase that: ▎ - Mints Arkose tokens via a real-Chrome TLS client (bogdanfinn) ▎ - Rotates residential proxies + BDA fingerprints per attempt ▎ - Uses commercial classifiers (YesCaptcha, OmoCaptcha, ) ▎ ▎ The pipeline reaches the challenge-submit step consistently, but the classifiers we use are giving low-accuracy answers on the newer navigation-style variants, so we're getting solved:false on the final wave. ▎ ▎ What I need help with: ▎ - Diagnosing whether the failure is truly answer-quality vs a deeper trust/suppression issue ▎ - Imp...

I need a fresh collection of face video from Indian and Indonesian participants to expand a training dataset for an AI-driven facial recognition model. The emphasis is on video variety (angles, lighting, backgrounds, expressions) so the algorithm learns to generalise accurately across real-world conditions. Every image must be accompanied by three demographic labels: • Age range 18- 99 years • Gender : Male & Female Skin Tone: Dark for all age groups Medium for 35+ only Deliverables (per participant) Need to upload the video in our Client portal. Technical notes FPS 30 and Minimum resolution 720 px. Mobile: Vertical Recording Laptop: Horizontal Recording I’m working on a tight timeline, so please mention how many distinct contributors you can source an...

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...