MMLForge Search models, datasets, tasks… Start free
Home › Models › Image Segmentation › Efferbach/segformer-finetuned-lane-10k-steps
S

Efferbach/segformer-finetuned-lane-10k-steps

Image Segmentation·Efferbach· 2.2K
transformers other Image Segmentation license:otherregion:us

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-cityscapes-512-1024 on the Efferbach/lanemaster dataset. It achieves the following results on the evaluation set: - Loss: 0.0365 - Mean Iou: 0.4899 - Mean Accuracy: 0.7371 - Overall Accuracy: 0.7371 - Accuracy Background: nan - Accuracy Left: 0.7394 - Accuracy Right: 0.7348 - Iou Background: 0.0 - Iou Left: 0.7371 - Iou Right: 0.7

Open in MLForge Sign up free Desktop app Source ↗
# pull & run locally
pip install mlforge-sdk && mlforge pull Efferbach/segformer-finetuned-lane-10k-steps

Model details

Task
Image Segmentation
Provider
Efferbach
Framework
transformers
Size
485 MB
License
other
Downloads
2.2K
Updated
2023-04-08

About Efferbach/segformer-finetuned-lane-10k-steps

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-cityscapes-512-1024 on the Efferbach/lanemaster dataset. It achieves the following results on the evaluation set: - Loss: 0.0365 - Mean Iou: 0.4899 - Mean Accuracy: 0.7371 - Overall Accuracy: 0.7371 - Accuracy Background: nan - Accuracy Left: 0.7394 - Accuracy Right: 0.7348 - Iou Background: 0.0 - Iou Left: 0.7371 - Iou Right: 0.7325

Related Image Segmentation

C CIDAS/clipseg-rd64-refined Image Segmentation ·150.7M params 1.3M 140 🤗 HF B ZhengPeng7/BiRefNet Image Segmentation ·220.7M params 713.5K 602 🤗 HF M facebook/mask2former-swin-large-ade-semantic Image Segmentation ·216.0M params 645.3K 21 🤗 HF S nvidia/segformer-b0-finetuned-ade-512-512 Image Segmentation ·3.8M params 321.1K 190 🤗 HF R briaai/RMBG-1.4 Image Segmentation ·44.1M params 309.5K 2.0K 🤗 HF S nvidia/segformer-b2-finetuned-ade-512-512 Image Segmentation 213.6K 7 🤗 HF

Browse all Image Segmentation models →