Use YOLOv10 to detect objects in real-time
Process videos to detect and track objects
Object_detection_from_Video
Analyze video to recognize actions or objects
Detect objects in live video feeds
yolo-bdd-inference
Detect and track cars in a video
Watch and analyze videos with object detection
Efficient Track Anything
Automated Insect Detection
Track and count vehicles in real-time
Detect objects in a video and image using YOLOv5.
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.