Task
Image Segmentation
S
as-cle-bert/segformer-v1-breastcancer
Image Segmentation·as-cle-bert· 225
transformers
cc
Image Segmentation
3.7M params
dataset:as-cle-bert/breastcancer-semantic-segmentationbase_model:nvidia/segformer-b0-finetuned-cityscapes-1024-1024base_model:finetune:nvidia/segformer-b0-finetuned-cityscapes-1024-1024
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-cityscapes-1024-1024 on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2084 - Mean Iou: 0.6074 - Mean Accuracy: 0.7133 - Overall Accuracy: 0.6718 - Per Category Iou: [0.6503515075769412, 0.5644565972298056] - Per Category Accuracy: [0.7843872475128127, 0.6421245639664888]
# pull & run locally
pip install mlforge-sdk && mlforge pull as-cle-bert/segformer-v1-breastcancer
pip install mlforge-sdk && mlforge pull as-cle-bert/segformer-v1-breastcancer
Model details
Provider
as-cle-bert
Framework
transformers
Parameters
3.7M
Size
328 MB
License
cc
Downloads
225
Updated
2024-04-01
About as-cle-bert/segformer-v1-breastcancer
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-cityscapes-1024-1024 on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2084 - Mean Iou: 0.6074 - Mean Accuracy: 0.7133 - Overall Accuracy: 0.6718 - Per Category Iou: [0.6503515075769412, 0.5644565972298056] - Per Category Accuracy: [0.7843872475128127, 0.6421245639664888]