ObjectCounter
yolo-bdd-inference
Object_detection_from_Video
Video captioning/tracking
Detect cars, trucks, buses, and motorcycles in videos
Detect objects in real-time from webcam video
用于学习，验证识别效果
Identify objects in images and videos
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Track and count objects in videos
Generate a video with stick figures tracking human poses
Generate annotated video with object detection
Detect objects in images or videos
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.