Use YOLOv10 to detect objects in real-time
Product Prototype 1
Detect and track cars in a video
Detect objects and track body movements in real-time
Track moving objects in videos or webcam feed
Detect objects in a video and image using YOLOv5.
Detect objects in images or videos
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Control object motion in videos using 2D trajectories
Analyze video for object detection and counting
Track and label objects in videos
Detect objects in a video
Find objects in videos
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.