Identify objects in images or videos
Detect and track cars in a video
Track people in a video and capture faces
Process video to detect and highlight objects
Detect objects in images and videos
Detect objects in real-time from your webcam
Paligemma2 Detection with Supervision
Analyze video to recognize actions or objects
Video captioning/open-vocabulary/zero-shot
A UI for drone detection for YOLO-powered detection system.
Process video to detect specified objects
yolo-bdd-inference
Detect objects and track body movements in real-time
YOLOv8 Object Detection is an advanced AI tool designed to identify and track objects within images or videos. It is part of the You Only Look Once (YOLO) series, known for its real-time detection capabilities and high accuracy. YOLOv8 offers improved performance, efficiency, and flexibility compared to its predecessors, making it a powerful solution for object detection tasks.
• State-of-the-Art Detection: Utilizes cutting-edge algorithms for accurate object recognition and tracking.
• Real-Time Processing: Optimized for fast inference speeds, enabling real-time object detection in videos.
• Customizable Models: Supports different model sizes (e.g., small, medium, large) to balance speed and accuracy based on user needs.
• Extended Functionality: Includes features like object tracking in videos and instance segmentation for precise object masking.
• Multi-Platform Support: Compatible with various frameworks and devices, ensuring flexibility in deployment.
1. What makes YOLOv8 better than previous YOLO versions?
YOLOv8 introduces improved detection algorithms, faster inference speeds, and better support for edge devices, making it more versatile and efficient than earlier versions.
2. Can YOLOv8 be used for live video object detection?
Yes, YOLOv8 is optimized for real-time object detection and works well with live video streams.
3. What are the minimum system requirements to run YOLOv8?
YOLOv8 can run on CPUs, but for optimal performance, a modern GPU (e.g., NVIDIA GPUs) is recommended.