Detect objects in images or videos
Generate a video with stick figures tracking human poses
Track objects in a video
Powerful foundation model for zero-shot object tracking
Object_detection_from_Video
Detect objects in a video using a query image
Track and count objects in videos
Track points in a video by clicking or using grid
Detect objects in images or videos
Dino-X-API-Demo::Alteredverse
yolo-bdd-inference
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Track and label objects in videos
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.