mit-b3 fashion fine-tune
According to the model card, the model is a fine-tuned version of nvidia/mit-b3 on sayeed99/fashion_segmentation using original image sizes without resizing.
Open Source Model Profile · sayeed99
segformer-b3-fashion is a 47.26M-parameter Segformer image-segmentation fine-tune from sayeed99. According to the model card, it is a fine-tuned version of nvidia/mit-b3 on fashion_segmentation without resizing.
segformer-b3-fashion is published by sayeed99 as an image-segmentation model. The captured configuration identifies SegformerForSemanticSegmentation with model type segformer, and Safetensors metadata reports 47,260,143 parameters. According to the model card, it was fine-tuned from nvidia/mit-b3 on the sayeed99/fashion_segmentation dataset using original image sizes without resizing.
According to the model card, the model is a fine-tuned version of nvidia/mit-b3 on sayeed99/fashion_segmentation using original image sizes without resizing.
Captured configuration identifies SegformerForSemanticSegmentation with model type segformer, and Safetensors metadata reports 47,260,143 parameters.
The hub lists Transformers support, and the model card shows loading with SegformerImageProcessor and AutoModelForSemanticSegmentation from_pretrained.
Source: sayeed99/segformer-b3-fashion
Captured: Unknown. Processed: 2026-09-07T19:34:57.549349+00:00.
segformer-b3-fashion This model is a fine-tuned version of nvidia/mit-b3 on the sayeed99/fashion_segmentation dataset using original image sizes without resizing. from transformers import SegformerImageProcessor, AutoModelForSemanticSegmentation from PIL import Image import requests import matplotlib.pyplot as plt import torch.nn as nn processor = SegformerImageProcessor.from_pretrained( "sayeed99/segformer-b3-fashion" ) model = AutoModelForSemanticSegmentation.from_pretrained( "sayeed99/segformer-b3-fashion" ) url = "https://plus.unsplash.com/premium_photo-1673210886161-bfcc40f54d1f?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8c…
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