Generate 3D depth map visualization from an image
Visualize attention maps for images using selected models
https://huggingface.co/spaces/VIDraft/mouse-webgen
Interact with Florence-2 to analyze images and generate descriptions
Generate mask from image
Analyze images to generate captions, detect objects, or perform OCR
Vectorizer AI | Convert Image to SVG
Search images by text or upload
Detect and compare dominant colors in images
Swap Single Face
Art Institute of Chicago Gallery
Multimodal Language Model
Extract text from images using OCR
MidasDepthEstimation is an AI-powered tool designed to generate 3D depth map visualizations from 2D images. It leverages advanced algorithms to estimate depth information, transforming a flat image into a three-dimensional representation. This tool is particularly useful for applications in computer vision, robotics, and 3D modeling, where understanding the spatial relationships within an image is essential.
• Depth Estimation: Converts 2D images into 3D depth maps with high accuracy.
• Real-Time Processing: Generates depth maps quickly and efficiently, even for complex scenes.
• Customizable Settings: Allows users to adjust parameters to fine-tune depth estimation for specific use cases.
• Multiple Formats Support: Works with various image formats and outputs depth maps in both 2D and 3D formats.
• User-Friendly Interface: Designed for ease of use, making it accessible to both professionals and non-experts.
What formats does MidasDepthEstimation support?
MidasDepthEstimation supports popular image formats including JPEG, PNG, and TIFF. Depth maps are output in both 2D grayscale and 3D point cloud formats.
Can I customize the depth estimation settings?
Yes, MidasDepthEstimation allows users to adjust settings like depth range, resolution, and smoothing to achieve the desired results.
Is the tool suitable for real-time applications?
Yes, MidasDepthEstimation is optimized for real-time processing, making it ideal for applications that require fast depth estimation, such as robotics and autonomous systems.