Histo Train Segformer
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
Featured Recommended AI Models
Š 2025AIbase