Identify segments in an image using a Detectron2 model
Identify objects in images
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Detectron2 Model Demo is a demonstration of the Detectron2 model, a state-of-the-art library developed by Facebook AI Research (FAIR) for object detection tasks. This demo provides an interactive way to identify segments in an image using pre-trained Detectron2 models, making it accessible for users to explore and visualize object detection capabilities.
• High-Accuracy Detection: Built on top of Detectron2, the demo leverages cutting-edge models for precise object detection and segmentation.
• Pre-Trained Models: Access to a variety of pre-trained models optimized for different detection tasks.
• User-Friendly Interface: Designed for ease of use, allowing users to upload images and visualize results seamlessly.
• Customizable Options: Supports model selection and parameter adjustments for tailored detection outcomes.
• Real-Time Visualization: Displays detection results in real-time, enabling immediate feedback and analysis.
1. What types of objects can Detectron2 Model Demo detect?
Detectron2 Model Demo can detect a wide range of objects, including common everyday items, people, animals, and more, depending on the pre-trained model used.
2. Can I use my own model with the demo?
Currently, the demo uses pre-trained models, but Detectron2 allows for custom model training. Contact support for guidance on integrating custom models.
3. Are there any image size limitations for uploads?
Yes, images should be within a reasonable size limit (typically under 10MB) to ensure smooth processing and fast detection results.