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Segformer B0 Finetuned Food

Developed by prem-timsina
An image segmentation model based on the Transformers library, supporting various image segmentation tasks.
Downloads 20
Release Time : 5/7/2023

Model Overview

This model is an image segmentation model within the Transformers library, primarily used for semantic or instance segmentation of images, suitable for computer vision tasks.

Model Features

Based on Transformers Architecture
Utilizes advanced Transformer architecture for image segmentation, delivering efficient segmentation performance.
Supports Multiple Segmentation Tasks
Capable of handling various image segmentation tasks such as semantic segmentation and instance segmentation.
Easy Integration
As part of the Transformers library, it can be easily integrated with other models and tools.

Model Capabilities

Image Semantic Segmentation
Image Instance Segmentation
Computer Vision Task Processing

Use Cases

Computer Vision
Medical Image Segmentation
Used for segmenting organs or lesion areas in medical images.
Autonomous Driving Scene Understanding
Used for segmenting roads, pedestrians, vehicles, and other elements in autonomous driving scenarios.
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