YOLO Jobs

I need a small application that, once given a set of latitude-longitude boundaries for a desert sector, automatically pulls the most recent, freely-available satellite imagery every day, stores it locally, and then runs an object-detection model that flags cars and trucks only. The moment a vehicle silhouette is spotted, the program must return its exact coordinates so rescuers can be dispatched quickly. I’m flexible about the imagery source—NASA, ESA, Google Earth, or any other free feed is fine as long as it delivers cloud-free, high-resolution scenes on a daily cadence. You are welcome to mix sources when one is fresher than another. The detector has to work at desert scale, so please build it with an established computer-vision framework (e.g., TensorFlow, PyTorch, YOLO, ...

I already have a working Python pipeline that watches a live game feed, runs it through YOLO to carve out short MP4 snippets, and pushes those clips to a monitor in real time. A Flutter front-end then lets fans pull either single clips or concatenated highlight reels to their iPhone or Android devices. In addition, the Yolo feed provides information for other performance calculations that post under each snippet on the monitor. Two pain points are slowing us down: 1. YOLO interference Right now one key smaller object interferes with other objects that are detected because there is no prioritization layer in place. This causes some of the performance calculations to be intermittent resulting in some incomplete calculations. I need logic that decides, on the fly, which detection ...

We are seeking a highly experienced freelancer to help perfect real-time transparent computer-vision overlays and a vGamepad / joystick-based targeting system designed for console environments. This is not a beginner or theory role — we need someone who has hands-on experience with Cronus Zen, microcontrollers, and live console testing. Core Responsibilities Develop and refine transparent CV overlays (low-latency, accurate alignment, stable rendering) Implement and tune vGamepad / XInput joystick targeting logic driven by CV detections Integrate and test with Cronus Zen (HID behavior, stick output, signal timing) Work with microcontrollers (Arduino / Portenta / similar) in real-time input pipelines Test directly on Xbox or PlayStation consoles (physical hardware required) Optimize fo...

I need a piece of software that plugs straight into the video stream coming from existing, off-the-shelf CCTV cameras and immediately adds deep-learning smarts. The core must deliver three capabilities with high accuracy: object detection, facial recognition and motion tracking and more Whenever the system identifies a configured event it should push an alert to me by email, SMS, an in-app popup and, for operators in the control room, an on-screen monitor notification. Ideally the alert payload will include a timestamp, camera ID and a cropped snapshot or short clip of the trigger moment. Please build the solution so it can run on a local server (GPU-enabled Windows or Linux) but remain flexible enough to shift to a cloud instance later if needed. A clean, web-based dashboard to review...