SOTA real-time object detection model
Track objects in uploaded videos
Dino-X-API-Demo::Alteredverse
Identify objects in images and videos
Track people in a video and capture faces
Identify objects in live video
Detect objects in uploaded videos or live streams
ObjectCounter
Detect and track cars in a video
Process video to detect and highlight objects
Video captioning/tracking
Detect objects and track body movements in real-time
Detect objects in a video stream
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.