ObjectCounter
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Detect objects in real-time video streams
Detect objects in a video stream
Detect objects in images and videos
Dino-X-API-Demo::Alteredverse
Identify objects in images and videos
Identify objects in images and videos
Video captioning/open-vocabulary/zero-shot
Automated Insect Detection
Control object motion in videos using 2D trajectories
Detect objects in real-time video stream
Generate annotated video with object detection
ObjectCounter is an AI-powered tool designed to detect and count objects in images and videos. It specializes in tracking objects within video streams, making it ideal for applications like surveillance, traffic monitoring, and inventory management. With its advanced object detection algorithms, ObjectCounter provides accurate and efficient counting solutions.
• Object Detection: Automatically identifies and labels objects within images and videos.
• Real-Time Counting: Tracks and counts objects in real-time video streams.
• Object Tracking: Follows the movement of objects across multiple frames for accurate counting.
• Multi-Format Support: Works with images, video files, and live video streams.
• Customizable Settings: Allows users to adjust detection thresholds and labels.
• User-Friendly Interface: Intuitive design for easy operation and result visualization.
What formats does ObjectCounter support?
ObjectCounter supports images (JPEG, PNG), video files (MP4, AVI), and live video streams from cameras or other sources.
Can ObjectCounter count objects in real-time?
Yes, ObjectCounter is capable of real-time object counting for live video streams, providing instantaneous updates as objects enter or exit the frame.
How accurate is ObjectCounter?
ObjectCounter leverages advanced AI models to achieve high accuracy in object detection and counting. However, accuracy may vary depending on the quality of the input and the complexity of the scene.