H

Histo Train Segformer

Developed by tcvrishank
Image classification model based on SegFormer architecture, fine-tuned on imagefolder dataset with 87.5% accuracy
Downloads 14
Release Time : 3/25/2023

Model Overview

This model is a fine-tuned version of nvidia/mit-b0 pre-trained model for image classification tasks, primarily used for histopathological image analysis

Model Features

High Accuracy
Achieves 87.5% classification accuracy on the evaluation set
Efficient Training
Uses mixed precision training (native AMP) to optimize training efficiency
Transfer Learning
Fine-tuned based on nvidia/mit-b0 pre-trained model, fully utilizing pre-trained knowledge

Model Capabilities

Image Classification
Histopathological Image Analysis

Use Cases

Medical Imaging
Pathological Slide Classification
Classification and recognition of histopathological images
87.5% accuracy
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