ObjectCounter
Detect objects in a video using a query image
Track and count vehicles in real-time
Detect objects in real-time from webcam video
yolo
Track objects in a video
Model Yolo
Detect cars, trucks, buses, and motorcycles in videos
Powerful foundation model for zero-shot object tracking
Track people in a video and capture faces
Identify and track faces in videos
Process video to detect specified objects
Efficient Track Anything
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.