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streetvision-roadwork
FavoritCoin/streetvision-roadwork
streetvision-roadwork is a image classification model from FavoritCoin. Use it when you need a label for an image. It is set up for transformers.
Binary image classifier prepared for NATIX StreetVision subnet inference.
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102
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85.8M
686 MB on disk
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2
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Repo makeup
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.safetensors1 GB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- Sep 21, 2026
- Updated
- Sep 21, 2026
- SHA
- d404192a
Model card
From the Hugging Face model README
StreetVision Roadwork
Binary image classifier prepared for NATIX StreetVision subnet inference.
Labels
0:None1:Roadwork
Current status
This repository currently contains a baseline copied from reyraa/sn72-roadwork. It has not yet been fine-tuned by FavoritCoin and no accuracy claim is made until evaluation on a labeled roadwork/no-roadwork benchmark is complete.
Verified runtime
Tested with StreetVision commit 5d0756bfb5c827929b02d66446b261fcb14c063a on NVIDIA RTX 4070 Ti.
- Output is a probability in the
0.0-1.0range. - Model loads through
AutoModelForImageClassification. - GPU inference is approximately
4.13 ms/imageafter warmup. - GPU memory allocation is approximately
336 MiB.
Files
config.jsonpreprocessor_config.jsonmodel.safetensors
Limitations
Training data provenance and benchmark accuracy need independent validation before production mining or registration.
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- Created
- Sep 21, 2026
- Updated
- Sep 21, 2026