You can deploy this model and start earning money today!

Bittensorminingfactory/
streetvision-roadwork-v2

Name: streetvision-roadwork-v2
Availability: InStock

pytorch

fastervit_binary

Views

No views yet

StreetVision Roadwork Detection Model (Binary)

Binary-compatible FasterViT model for SN72 StreetVision subnet.

Model Details

Architecture: FasterViT-0 with binary output wrapper
Output: Single float [0.0, 1.0] indicating roadwork presence
Input: 224x224 RGB images
Classes: D00, D10, D20, D40 (internally mapped to binary)

Usage

python

from binary_wrapper import load_model

model = load_model("pytorch_model.bin", method="max")
score = predict(model, "image.jpg")  # Returns float [0,1]

Binary Conversion

The 4-class damage detection model outputs probabilities for:

D00: Longitudinal Crack
D10: Transverse Crack
D20: Alligator Crack
D40: Pothole

Binary score = max(probabilities) across all damage classes.

Bittensorminingfactory/streetvision-roadwork-v2

StreetVision Roadwork Detection Model (Binary)

Model Details

Usage

Binary Conversion

Bittensorminingfactory/
streetvision-roadwork-v2