SOTA real-time object detection model
Powerful foundation model for zero-shot object tracking
Detect objects in uploaded videos or live streams
Photo and video detector with csv annotation saving
Process video to detect and highlight objects
A UI for drone detection for YOLO-powered detection system.
Process video to detect specified objects
Identify objects in images and videos
Detect objects in real-time video streams
Track people in a video and capture faces
Detect moving objects in videos
Product Prototype 1
Track and count vehicles in real-time
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.