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petrol-fastwin-v4
licensy/petrol-fastwin-v4
petrol-fastwin-v4 is a machine learning model from licensy. 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 mit.
Iteration of v3. Same two-detector WBF ensemble:
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Updated Apr 30, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026
- SHA
- c0b5f521
Model card
From the Hugging Face model README
petrol-fastwin-v4 (WBF ensemble + post-fusion conf gate)
Iteration of v3. Same two-detector WBF ensemble:
weights/havengo.onnx— m50 0.901 / fp 0.884 (high recall)weights/superbit.onnx— m50 0.892 / fp 0.944 (high precision)
v4 change: a post-WBF confidence gate at 0.55. WBF halves the score of any cluster where only one of the two models agreed; those singletons are the boxes that hurt the fp pillar in v3 (fp 0.800 → 0.767). Gating them out should recover the lost precision while keeping the m50 gain.
Per-model weights 0.45 / 0.55 favor SuperBit slightly.
- License
- mit
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026