Detect objects in images or videos
Track objects in a video
Generate a video with stick figures tracking human poses
Detect moving objects in videos
Model Yolo
Process video to detect and highlight objects
Detect objects in uploaded videos or live streams
Track and label objects in videos
yolo-bdd-inference
Analyze images and videos to identify objects
Control object motion in videos using 2D trajectories
Track and count objects in videos
Paligemma2 Detection with Supervision
YOLOv12 Demo is a demo application that leverages the YOLOv12 model, part of the You Only Look Once (YOLO) family of object detection algorithms. It is designed to detect objects in images or videos in real time, making it a powerful tool for applications like surveillance, autonomous systems, or robotics. This demo provides an intuitive interface to showcase the capabilities of YOLOv12, offering highly accurate and fast object detection.
What is YOLOv12 Demo used for?
YOLOv12 Demo is used for detecting objects in images or videos. It is ideal for applications requiring real-time object recognition.
How accurate is YOLOv12 Demo?
YOLOv12 Demo provides state-of-the-art accuracy due to its advanced neural network architecture and training on large datasets.
Can YOLOv12 Demo be customized?
Yes, users can customize detection settings such as confidence thresholds and IOU (Intersection over Union) settings to refine results.