Track objects in uploaded videos
Detect objects in images or videos
Track and count vehicles in real-time
Detect objects in a video using a query image
Detect moving objects in videos
Generate annotated video with object detection
Detect objects and track body movements in real-time
Process video to detect specified objects
Track points in a video by clicking or using grid
Object_detection_from_Video
SOTA real-time object detection model
Identify and track faces in videos
Track and label objects in videos
Real-Time Video Object Detection is a cutting-edge technology within the field of computer vision that enables the detection and tracking of objects within video streams in real time. This technology is designed to process live or uploaded videos and identify specific objects, such as people, vehicles, or animals, as they appear in each frame. It is widely used in applications like surveillance systems, autonomous vehicles, and sports analytics to provide instant insights and actionable data.
1. What types of objects can be detected?
Real-Time Video Object Detection can identify a wide range of objects, including people, vehicles, animals, and custom objects based on the model used.
2. How accurate is the detection?
Accuracy depends on the AI model and video quality. Modern models achieve high accuracy, but factors like lighting and resolution can affect performance.
3. Can it work with low-quality videos?
Yes, but detection accuracy may decrease with lower video quality. For best results, use clear and well-lit video sources.