Real-time object detection w/ 🤗 Transformers.js
yolo-bdd-inference
Analyze video to recognize actions or objects
Detect objects in real-time video streams
Analyze video for object detection and counting
SOTA real-time object detection model
Detect objects in a video
Process videos to detect and track objects
Track objects in uploaded videos
Detect objects in a video using a query image
A UI for drone detection for YOLO-powered detection system.
Product Prototype 1
Detect objects and track body movements in real-time
Video Object Detection is a cutting-edge technology designed to track and detect objects within video feeds in real-time. It leverages advanced AI models, such as those from Transformers.js, to identify and classify objects across consecutive frames. This tool is particularly useful for applications requiring continuous monitoring and analysis of video content, such as surveillance, autonomous vehicles, or video analytics.
• Real-Time Detection: Processes video streams in real-time for immediate object identification. • Object Tracking: Follows detected objects across frames, enabling consistent monitoring. • Multi-Object Support: Detects and tracks multiple objects simultaneously in a single video feed. • High Accuracy: Utilizes state-of-the-art models like Transformers.js for precise detection. • Customizable: Allows users to fine-tune settings for specific use cases. • Lightweight Integration: Built with performance in mind, integrates seamlessly with modern applications.
What video formats are supported?
Video Object Detection supports major video formats, including MP4, AVI, and MOV. Ensure your video codec is compatible with the underlying framework.
Can I customize the detection model?
Yes, the model can be fine-tuned for specific object categories or improved accuracy using custom datasets.
Does it work on live camera feeds?
Absolutely! Video Object Detection is designed to handle real-time streams, including live camera feeds, for instant object tracking and detection.