SOTA real-time object detection model
Detect objects in images, videos, and live webcam streams
Detect objects in real-time video streams
Track and count objects in videos
Detect objects in images or videos
Identify objects in live video
Detect and track objects in images or videos
A UI for drone detection for YOLO-powered detection system.
Find objects in videos
Process video to detect specified objects
Track people in a video and capture faces
Video captioning/open-vocabulary/zero-shot
Detect and track cars in a video
RF-DETR is a state-of-the-art (SOTA) real-time object detection model designed for tracking objects in videos. It enables efficient and accurate annotation of objects in both images and videos, making it a powerful tool for various computer vision applications.
• High-Speed Processing: Optimized for real-time object detection, ensuring fast and accurate results.
• State-of-the-Art Performance: Delivers cutting-edge accuracy in object detection tasks.
• Multi-Format Support: Works seamlessly with both images and videos, providing versatility for different use cases.
• Efficient Tracking: Capable of tracking objects across frames in videos with high precision.
What makes RF-DETR suitable for real-time applications?
RF-DETR is optimized for speed and efficiency, making it ideal for real-time object detection and tracking in videos.
How accurate is RF-DETR compared to other models?
RF-DETR achieves state-of-the-art performance, outperforming many other models in object detection benchmarks.
Can RF-DETR process both images and videos?
Yes, RF-DETR supports both image and video inputs, providing consistent results across different formats.