Identify objects in images and videos
Analyze video for object detection and counting
Detect objects in images or videos
Detect objects in a video
Identify objects in live video
Track objects in uploaded videos
Detect and track objects in images or videos
Paligemma2 Detection with Supervision
Track moving objects in videos or webcam feed
SOTA real-time object detection model
Detect objects in uploaded videos or live streams
用于学习，验证识别效果
Model Yolo
The YOLOv12 Demo is a powerful object detection tool designed to identify objects in images and videos. It leverages the YOLOv12 model, which is an advanced version of the You Only Look Once (YOLO) family of models. The demo provides a user-friendly interface to demonstrate the capabilities of YOLOv12, making it accessible for developers and non-developers alike.
The YOLOv12 Demo offers the following key features:
• Real-Time Object Detection: Quickly detect objects in live video or still images.
• High Accuracy: Utilizes state-of-the-art YOLOv12 architecture for precise object identification.
• Multiple Platforms: Compatible with various platforms, including mobile and desktop.
• Customizable Parameters: Adjust settings like confidence thresholds and overlap penalties for better performance.
• Speed Optimizations: Efficient inference speeds even on less powerful hardware.
• <Bold Support for GPU: Accelerated execution for smoother video processing.
Here’s a step-by-step guide to use the YOLOv12 Demo:
Q: What devices are supported by YOLOv12 Demo?
A: The demo is optimized for both mobile and desktop platforms, ensuring compatibility with a wide range of devices.
Q: Can I customize the detection settings?
A: Yes, users can adjust parameters such as confidence thresholds and non-maximum suppression (NMS) to optimize detection results.
Q: How do I improve detection accuracy?
A: You can enhance accuracy by increasing the confidence threshold or using a GPU for faster and more precise processing.