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badcrop
JosephCatrambone/badcrop
badcrop is a machine learning model from JosephCatrambone. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Detects bad crop jobs and misalignments, like screenshots from phones that should be trimmed down to relevant details.
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Public
Updated Dec 14, 2025
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86.7 MB
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.onnx86.7 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025
- SHA
- 17119199
Base models
Model card
From the Hugging Face model README
Overview
Detects bad crop jobs and misalignments, like screenshots from phones that should be trimmed down to relevant details.
Version 8.
Training progress: https://wandb.ai/josephc/bad_crop/overview
Usage:
import numpy
import onnxruntime as ort
session = ort.InferenceSession("./bad_crop.onnx")
blank = numpy.zeros((1, 3, 224, 224), dtype=numpy.float32)
out = torch.softmax(torch.tensor(session.run(["output"], {"input": blank,})[0][0]), axis=0)
print(out) # tensor([9.9941e-01, 5.8832e-04]) # Bad crop, good crop
- License
- apache-2.0
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025