v1+ Co-DETR gap-completed distillation set (add-only, v1 boxes preserved)
Browse files- README.md +44 -0
- data/train_a.tar.gz +3 -0
- data/train_b.tar.gz +3 -0
- data/val.tar.gz +3 -0
- rdd_frdc.yaml +9 -0
README.md
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---
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license: other
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license_name: mixed-source-attribution
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pretty_name: Unified Road Defect Dataset - FRDC Pseudo-labeled v1+ (Co-DETR, gap-completed)
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task_categories:
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- object-detection
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tags:
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- road-damage
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- pothole-detection
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- crack-detection
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- yolo
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- knowledge-distillation
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- pseudo-labeling
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- semi-supervised
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size_categories:
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- 10K<n<100K
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viewer: false
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---
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# Unified Road Defect Dataset - FRDC Pseudo-labeled v1+ (Co-DETR, gap-completed)
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An improved version of the v1 distillation set. v1 used **Co-DETR** pseudo-labels at
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conf >= 0.5, which **dropped 4,316 test images entirely** (no confident detection) and
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missed lower-confidence boxes. v1+ **keeps every v1 Co-DETR box unchanged** and only
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**adds the boxes v1 was missing** (non-overlapping detections recovered from Co-DETR on
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the dropped images + RTMDet), so v1's strong labels are preserved while coverage is
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completed.
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Unlike v2 (which fused both teachers with Weighted Boxes Fusion and **averaged/moved**
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Co-DETR's boxes), v1+ is **add-only** — no existing Co-DETR box is modified.
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**Contents**
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- GT train (RDD-2022 + UAV-PDD2023 + RoadDamageVision, 4-class, original labels).
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- Pseudo-labeled test: **5,081 images, 9,160 boxes** = v1's 8,023 Co-DETR boxes (kept)
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+ 1,137 added missing boxes (362 images v1 had nothing for).
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- val: the original held-out GT val (unchanged), identical to base/v1/v2 for fair A/B.
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## Classes
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0 D00 Longitudinal | 1 D10 Transverse | 2 D20 Alligator | 3 D40 Pothole
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## Credits
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- Base dataset: [TamAko783/Unified_Road_Defect_Dataset](https://huggingface.co/datasets/TamAko783/Unified_Road_Defect_Dataset).
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- Pseudo-label teachers: Co-DETR Swin-L (primary) + RTMDet-x (gap-fill), FRDC
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(Wang Fangjun et al.), ORDDC'2024 winner.
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data/train_a.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb7dd73315892eedd22c1ea313b0e043251dca429b97c5e8a98b43a6bbe68b6c
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size 2969775847
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data/train_b.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6e894957abc4a0e0ec9a89bfefa48dffbe0e3ca55dea44134729a0cefa2cef2
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size 4171559273
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data/val.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfcd8759fa3d1c9580e975378fc82bc7b95355b556a3d430a486acd14e286f9c
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size 1067638032
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rdd_frdc.yaml
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path: /home/agustinjules09/unified_rdd/data/yolo_v1plus
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train: images/train
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val: images/val
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nc: 4
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names:
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0: Longitudinal Crack (D00)
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1: Transverse Crack (D10)
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2: Alligator Crack (D20)
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3: Pothole (D40)
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