Segment Anything by Meta AI
Cutting-edge Image Segmentation with SAM
Segment Anything by Meta AI is an advanced AI model that specializes in image segmentation tasks. The model, known as SAM, can accurately 'cut out' any object in an image with a single click. It offers promptable segmentation with zero-shot generalization to unfamiliar objects and images, eliminating the need for additional training. SAM's design enables flexible integration with other systems and provides extensible outputs that can be used in various applications.
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Features
- Promptable segmentation system
- Zero-shot generalization to unfamiliar objects
- Flexible integration with other systems
- Extensible outputs for diverse applications
- Efficient model design for quick inference
Advantages
- Accurate object segmentation with a single click
- Eliminates the need for additional training
- Supports a wide range of segmentation tasks
- Enables flexible integration with other AI systems
- Provides extensible outputs for diverse applications
Disadvantages
- Limited support for text prompts
- Requires GPU for efficient inference
- Does not generate mask labels
Frequently Asked Questions
-
Q:What type of prompts are supported?
A:Foreground/background points, Bounding box, Mask -
Q:What platforms does the model use?
A:PyTorch for image encoder, ONNX for prompt encoder and mask decoder -
Q:How big is the model?
A:Image encoder: 632M parameters, Prompt encoder and mask decoder: 4M parameters -
Q:Does the model work on videos?
A:Currently supports images or individual frames from videos -
Q:Where can I find the code?
A:Code is available on GitHub
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