YOLO11
The latest generation of the YOLO object detection model series developed by Ultralytics. It supports multiple vision tasks including object detection, pose estimation, and oriented bounding boxes (OBB), and is characterized by high accuracy and fast inference.
Timeline (last 90 days)
The agent autonomously completed the full pipeline of installing DeepStream, obtaining the YOLO11 model, exporting it in ONNX format, and having TensorRT build a Jetson-optimized engine, with the engine build alone taking approximately 10 minutes.
The final object detection application was broadly functional but produced errors, such as misidentifying a clock as a microwave oven, and adjusting the crop distance filtered out objects beyond two meters.
A developer built a javelin throw analysis system based on YOLO11 that can automatically detect javelins from television broadcast footage, track athlete movements, calculate joint angles, identify throwing phases, and plot flight trajectories.
All Facts (3)
The final object detection application was broadly functional but produced errors, such as misidentifying a clock as a microwave oven, and adjusting the crop distance filtered out objects beyond two meters.
50%UnverifiedThe agent autonomously completed the full pipeline of installing DeepStream, obtaining the YOLO11 model, exporting it in ONNX format, and having TensorRT build a Jetson-optimized engine, with the engine build alone taking approximately 10 minutes.
50%UnverifiedA developer built a javelin throw analysis system based on YOLO11 that can automatically detect javelins from television broadcast footage, track athlete movements, calculate joint angles, identify throwing phases, and plot flight trajectories.
50%