Sam Vit Base
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Sam Vit Base
Developed by sajabdoli
This is an improved version of the Facebook SAM model (sam-vit-base), specifically optimized for image segmentation tasks in CVAT.
Image Segmentation Supports Multiple LanguagesOpen Source License:MIT#Arbitrary Object Segmentation#Zero-shot Learning#Binary Mask
Downloads 184
Release Time : 4/8/2025
Model Overview
SAM (Segment Anything Model) can segment any object in an image and output a binary segmentation mask.
Model Features
Universal Object Segmentation
Capable of segmenting any object in an image without category-specific constraints.
Optimized Configuration
Specifically optimized for image segmentation tasks in CVAT (Computer Vision Annotation Tool).
Binary Output
Outputs binary segmentation masks for easy post-processing and analysis.
Model Capabilities
Image Segmentation
Object Recognition
Mask Generation
Use Cases
Computer Vision
Image Annotation
Used for automatic segmentation tasks in image annotation tools to improve labeling efficiency.
Object Recognition and Segmentation
Identifies and segments arbitrary objects in images, suitable for various visual tasks.
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