Real-time object detection w/ 🤗 Transformers.js
Detect objects in a video stream
Object_detection_from_Video
Detect objects in a video and image using YOLOv5.
Detect objects in real-time video streams
Track objects in uploaded videos
Video captioning/open-vocabulary/zero-shot
Detect objects in live video feeds
Segment objects in videos with point clicks
Automated Insect Detection
yolo
Detect objects in short videos
Detect objects in images or videos
Video Object Detection is a cutting-edge technology that enables real-time identification and labeling of objects within live or recorded video streams. Using advanced AI models like Transformers.js, it processes video frames to detect, classify, and track objects with high accuracy. This technology is widely used in applications such as surveillance, autonomous vehicles, and content analysis.
• Real-time Object Detection: Detect objects instantly as the video plays.
• High Accuracy: Utilizes state-of-the-art AI models for precise object identification.
• Object Tracking: Follows the movement of objects across frames for continuous monitoring.
• Multiple Object Support: Detects and labels multiple objects simultaneously.
• Customizable Models: Allow users to train or fine-tune models for specific use cases.
• Cross-platform Compatibility: Works seamlessly with various browsers and devices.
What video formats does Video Object Detection support?
Video Object Detection supports most common video formats, including MP4, AVI, and MOV. It also works with live camera feeds.
Can I train the model with my own dataset?
Yes, the model can be fine-tuned using custom datasets to improve accuracy for specific object types or environments.
How accurate is the object detection?
Accuracy depends on the quality of the video and the complexity of the scene. In ideal conditions, it achieves high precision and recall rates, often exceeding 90%.