ObjectCounter
Find objects in videos
用于学习，验证识别效果
Analyze video for object detection and counting
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Identify and track faces in videos
Process videos to detect and track objects
Detect objects in real-time from your webcam
Control object motion in videos using 2D trajectories
Analyze video to recognize actions or objects
Detect objects in images or videos
Track and count vehicles in real-time
Detect objects in live video feeds
ObjectCounter is an AI-powered tool designed to detect and count objects in images and videos. It leverages advanced computer vision technology to provide accurate object tracking and counting, making it ideal for various applications such as surveillance, inventory management, and analytics.
• Real-time detection: quickly identify objects in video streams or static images
• Multi-object tracking: simultaneously track multiple objects in a single scene
• Customizable detection: define specific objects to detect based on your needs
• Video and image support: works seamlessly with both images and video files
• Detailed analytics: provides counts and insights for further analysis
What types of files does ObjectCounter support?
ObjectCounter supports popular image formats like JPG, PNG, and BMP, as well as video formats such as MP4, AVI, and MOV.
How accurate is ObjectCounter?
Accuracy depends on the quality of the input and the complexity of the scene. In clear conditions, ObjectCounter provides high accuracy, but performance may vary in crowded or low-light environments.
Can I customize the objects ObjectCounter detects?
Yes, ObjectCounter allows you to define custom objects or classes to detect, making it adaptable to specific use cases and improving detection accuracy for unique scenarios.