petrol-fastwin-v4 (WBF ensemble + post-fusion conf gate)

Iteration of v3. Same two-detector WBF ensemble:

  • weights/havengo.onnx โ€” m50 0.901 / fp 0.884 (high recall)
  • weights/superbit.onnx โ€” 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 โ†’ 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.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support