Tag images with labels
https://huggingface.co/spaces/VIDraft/mouse-webgen
Detect if a person in a picture is a Host from Westworld
Generate depth map from images
Search and detect objects in images using text queries
Watermark detection
Generate clickable coordinates on a screenshot
Generate depth map from an image
Extract image sections by description
Search for images or video frames online
Simulate wearing clothes on images
Display interactive UI theme preview with Gradio
Generate saliency maps from RGB and depth images
DeepDanbooru is an AI-powered tool designed to automatically tag images with relevant labels, making it easier to organize, search, and manage image collections. It leverages advanced neural networks to analyze visual content and assign descriptive tags based on the objects, scenes, and concepts present in the images.
• Automatic Image Tagging: Assign descriptive labels to images based on their content. • Support for Multiple Tags: Generate multiple relevant tags per image for comprehensive description. • Custom Tagging Options: Users can define custom tags to suit specific needs. • Compatibility with Local Files: Process images stored locally on your device. • Integration with_third-party Tools: Integrate with other applications for seamless workflow. • Continuous Improvement: The model improves over time with feedback and updates.
What types of images can DeepDanbooru tag?
DeepDanbooru can tag a wide variety of images, including photographs, artwork, and other visual content. It is particularly effective for images with clear subjects or objects.
How accurate is DeepDanbooru?
The accuracy of DeepDanbooru depends on the quality of the image and the complexity of the content. While it is highly effective, it may not always identify every detail correctly.
Can I use DeepDanbooru for commercial projects?
Yes, DeepDanbooru can be used for commercial projects, but ensure compliance with licensing terms and any applicable usage policies.