FastSAM-X: Semantic Segmentation
The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. FastSAM significantly reduces computational demands while maintaining competitive performance, making it a practical choice for a variety of vision tasks.
Source model
- Input shape: 640x640
- Number of paramaters: 68.89M
- Model size: 277.39M
- Output shape: 1x37x8400,1x32x160x160
Source model repository: FastSAM
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