YOLO Jobs

Necesito ayuda para desarrollar y optimizar un modelo de detección y segmentación en tiempo real basado en YOLO11n que procese videos de ultrasonido de resolución media. El foco principal es localizar con alta precisión la aguja, aunque también deben marcarse venas y arterias para dar contexto al operador. Alcance del trabajo • Entrenamiento y ajuste fino del modelo YOLO11n con un dataset de ultrasonido que aportaré. • Implementación de segmentación y tracking cuadro a cuadro para mostrar contornos superpuestos en vivo. • Optimización de velocidad de inferencia a nivel de GPU/CPU para mantener latencia mínima. • Entrega de código limpio en Python (PyTorch o framework equivalente), pesos ...

I want a single, turnkey application that watches my CCTV feeds, spots shop-lifters in real time, recognises grocery products on the shelves, and keeps a live head-count of customers. The core model must be YOLO, and I need the exact same code-base to compile and run on both Windows (desktop with NVIDIA GPU) and a Raspberry Pi 4. Video sources vary—some cameras stream RTSP over IP while a few older analog units reach the NVR through a capture card—so the program has to accept either type without manual re-configuration. For product recognition I care only about groceries; no clothing or electronics labelling is necessary. The model should be trained (or fine-tuned) on the most common supermarket items so false positives stay low even when shelves are crowded. Key expecta...

I need a 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: •...