Use YOLOv10 to detect objects in real-time
Identify objects in images and videos
Product Prototype 1
Upload and detect objects in videos
Track and count objects in videos
Object_detection_from_Video
Car detection testing
Detect objects in short videos
Track and count vehicles in real-time
Detect objects in live video feeds
Identify objects in live video
Dino-X-API-Demo::Alteredverse
Powerful foundation model for zero-shot object tracking
Object detection is a computer vision task that involves identifying and locating objects within an image or video stream. It aims to determine what objects are present and where they are located by drawing bounding boxes around them. This technology is widely used in applications such as surveillance, autonomous vehicles, and robotics, enabling machines to understand visual data more effectively.
What is object detection used for?
Object detection is used for identifying and tracking objects in images or videos, with applications in surveillance, autonomous vehicles, and more.
How accurate is the detection?
The detection accuracy depends on the model and environment. YOLOv10 provides high accuracy, but performance may vary in complex or low-light conditions.
Can I use it on any device?
The tool is compatible with most modern devices, including smartphones, tablets, and PCs, but requires a working camera or video input.