Real-time object detection w/ 🤗 Transformers.js
Detect objects in live video feeds
Identify and track faces in videos
Find objects in videos
Detect objects in a video
Video captioning/tracking
Automated Insect Detection
Detect objects in real-time from webcam video
Model Yolo
Analyze video for object detection and counting
Watch and analyze videos with object detection
Identify objects in images and videos
A UI for drone detection for YOLO-powered detection system.
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.