Benxelua/Detector
AI model by Benxelua
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Model card & documentation
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This package contains exactly six locked-protocol baseline jobs: RT-DETR, Faster R-CNN R50-FPN, and SSDLite320-MobileNetV3-Large, each trained once on bright (DB) and raw dark (DL) LOD images. The six notebooks are in notebooks/. Attach this directory as a Kaggle dataset, attach the LOD image dataset, edit only the first notebook cell, and choose Run All. Each run verifies the paired 1647/183/400 split, smoke-tests model/loss/backward/checkpoint reload, trains for 50 epochs, selects solely on the matching-domain validation mAP50-95, evaluates the required locked test sets, and emits detectorresults.zip. All jobs use zero-based source labels for the eight frozen classes:…
Read the full model card ↗ · Preview checked 2026-10-03T07:12:39.712Z
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Model overview
Benxelua/Detector is a task-unspecified model repository published by Benxelua on Hugging Face. A library was not reported.
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Model facts
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- Created
- 2026-10-03T06:22:20.000Z
- Last modified
- 2026-10-03T06:26:08.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-03T06:39:34.535Z. Daily imports are snapshots, not real-time monitoring.
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