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Added on May 30, 2023
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Advanced image segmentation for research & editing.
Pricing: | Free |
Subcategory: | Research |
Features: | Open Source |
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Segment Anything is an AI model developed for research in computer vision that allows users to segment objects in any image with a single click. The model utilizes promptable segmentation and zero-shot generalization to deliver accurate and efficient object segmentation.
Main Features:
- Promptable Segmentation: Users can specify objects to segment by using interactive points and boxes as input prompts.
- Zero-shot Generalization: The model can accurately segment unfamiliar objects and images without the need for additional training.
- Multiple Valid Masks: The model generates multiple valid masks for ambiguous prompts or complex scenes.
- Versatile Output Usage: The generated segmentation masks can be used as inputs for other AI systems, tracked in videos, employed in image editing applications, utilized in 3D design, or utilized for creative tasks.
- Efficient Inference: The model is designed to be efficient, with fast inference times, and can run directly in a web browser while supporting various platforms.
Use Cases:
- Computer Vision Research: Segment Anything is a valuable tool for computer vision researchers as it enables efficient and accurate object segmentation.
- Image Editing: The generated segmentation masks can be applied in various image editing applications, such as selective adjustments or object removal.
- Video Tracking: The masks can be utilized for precise object tracking in videos, enabling a thorough understanding of object movements.
- Creative Projects: The output masks from the model can serve as inspiration and support for creative tasks, providing a starting point for artwork, design, or other creative endeavors.
Segment Anything, developed by Meta AI, presents a user-friendly and powerful solution for object segmentation in computer vision research.
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