Use YOLOv10 to detect objects in real-time
Track points in a video by clicking or using grid
Detect objects in live video from your webcam
Detect objects in images or videos
Detect and track objects in images or videos
Process videos to detect and track objects
Track and label objects in videos
Detect cars, trucks, buses, and motorcycles in videos
Track and count objects in videos
Video captioning/open-vocabulary/zero-shot
Detect objects in real-time from webcam video
Product Prototype 1
Powerful foundation model for zero-shot object tracking
Object detection is a cutting-edge AI technology used to identify and locate objects within images or video streams. It enables machines to detect, classify, and track objects in real-time, making it a powerful tool for applications like surveillance, autonomous vehicles, and robotics. Using YOLOv10, a state-of-the-art object detection model, this tool provides fast and accurate object recognition in live video streams.
• Real-Time Detection: Identify objects in live video feeds with low latency.
• High Accuracy: Leverage the power of YOLOv10, a highly optimized detection model.
• Speed and Efficiency: Process video streams quickly while maintaining precision and recall.
• Multiple Platforms: Compatible with desktop, mobile, and edge devices.
• Customizable Models: Fine-tune detection capabilities for specific use cases.
What platforms does Object Detection support?
Object Detection is compatible with Windows, macOS, Linux, and mobile devices, ensuring versatility across different environments.
How fast is YOLOv10 compared to other models?
YOLOv10 is one of the fastest and most efficient detection models, achieving exceptional performance while maintaining high accuracy.
Can I customize the detection model for specific objects?
Yes, the model can be fine-tuned for domain-specific objects by training it on custom datasets.