Detect objects in a video and image using YOLOv5.
Detect objects in live video feeds
Track points in a video by clicking or using grid
Photo and video detector with csv annotation saving
Track people in a video and capture faces
Detect objects in images and videos
SOTA real-time object detection model
Process video to detect and highlight objects
Track objects in a video
Detect objects in live video from your webcam
YOLOv11n & DeepSeek 1.5B LLMβRunning Locally
Powerful foundation model for zero-shot object tracking
Detect objects in a video stream
Object detection is a technology used to detect and identify objects within images and videos. It is a fundamental application of computer vision, enabling machines to locate, classify, and track objects in visual data. The Object Detection tool leverages the YOLOv5 model, a state-of-the-art algorithm for real-time object detection, to process and analyze visual content.
What types of objects can be detected?
The Object Detection tool can detect a wide range of objects, including people, vehicles, animals, and everyday items. The specific detection capabilities depend on the pre-trained model used.
How accurate is the detection?
The accuracy of the detection is highly dependent on the quality of the input image or video and the chosen model. YOLOv5 is known for its high performance and balance between speed and accuracy.
Can custom models be used for detection?
Yes, you can train and use custom YOLOv5 models for specific object detection tasks. This allows for tailored solutions to meet unique requirements.