Model Yolo
Identify and track faces in videos
Track objects in uploaded videos
Powerful foundation model for zero-shot object tracking
Track points in a video by clicking or using grid
Object_detection_from_Video
Video captioning/tracking
Detect objects in real-time video stream
Detect objects in images or videos
Detect and track cars in a video
Analyze images and videos to identify objects
Detect objects in real-time from webcam video
Track and count objects in videos
YoloV8 is the latest iteration in the You Only Look Once (YOLO) family of real-time object detection systems. Designed for detecting objects in images and videos, YoloV8 builds on the success of previous YOLO models while introducing advanced features to improve accuracy, speed, and versatility.
• Real-Time Detection: YoloV8 excels at detecting objects in real-time, making it suitable for video analysis and live applications.
• High Accuracy: The model achieves state-of-the-art performance on standard benchmarks, ensuring precise object recognition.
• Multi-Class Support: Capable of detecting over 1000+ classes, YoloV8 is highly versatile for diverse applications.
• Cross-Platform Compatibility: Runs efficiently on various platforms, including edge devices, desktops, and servers.
• Advanced Tracking: Incorporates cutting-edge tracking algorithms for object detection across video frames.
• Customizable: Supports fine-tuning for specific use cases, allowing users to adapt the model to their needs.
What types of objects can YoloV8 detect?
YoloV8 can detect over 1000+ classes of objects, including common items like people, vehicles, animals, and household items.
Can YoloV8 work on videos as well as images?
Yes, YoloV8 supports both image and video processing, making it ideal for real-time video analysis tasks.
How do I customize YoloV8 for my specific use case?
You can fine-tune YoloV8 using your dataset by leveraging transfer learning or adjusting its architecture to suit your requirements.