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183
PCB defect detection (6 classes; VOC bbox). Category B, task T-B2, in the unified Smart-Manufacturing SFT schema.
The repository name is an internal task code. See Provenance below for the underlying dataset.
Records
693 records (train=693).
Unified SFT schema
| field | type | meaning |
|---|---|---|
query |
str | the question / instruction (model input) |
image |
Image | the input image (bytes embedded) |
annot |
str | the answer — for this dataset: one class,[x, y, w, h] line per defect bounding box (COCO x/y/width/height in pixels; converted from the source Pascal-VOC corner boxes). The 6 PCB-defect classes are a closed set given in the query; full boxes + image size are in metadata.objects. Detection task — no mask column — see Task & split below |
reasoning |
null | no native CoT in these datasets |
cate |
"B" | SFT category |
task |
"T-xx" | unified task id |
metadata |
str (JSON) | split, provenance, image_path, image_sha256 (dedup key) |
mask |
Image | null | (T-B1/T-B2 only) the pixel ground-truth mask, bytes embedded |
masks |
list[Image] | (D21 only) multi-region masks |
Task & split
What this is. HRIPCB — the Peking University PCB Defect Dataset (Ding et al.): 693 high-resolution printed-circuit-board images organized by defect type into 6 classes (missing_hole, mouse_bite, open_circuit, short, spur, spurious_copper), each annotated with Pascal-VOC bounding boxes (2,953 boxes total; each image holds several boxes of its one defect type). Every image contains defects — no defect-free images.
Task. Object detection: localize and classify every PCB defect. query (our template) names the closed
set of 6 classes and asks for one class,[x, y, w, h] line per box (top-left x, y + width, height, in pixels).
annot is that — source VOC corner boxes converted to COCO [x,y,w,h]. There is no mask — localization is
the bounding box. Full boxes + image size are in metadata.objects; metadata.category records the source
folder (the image's defect type).
Split. No upstream train/test split -> single train (693).
Provenance
Underlying dataset: HRIPCB. Upstream license: other (research use; Peking Univ. PCB Defect Dataset) (this card is license: other; respect the upstream terms). Converted read-only from the raw source into the unified schema; conversion script: 183/convert_d83.py, published with publish/push_to_hf.py, both in AI4Manufacturing/forge_model.
Overlap / de-duplication (§8)
None notable. Each record carries metadata.image_sha256 so overlapping images can be kept entirely on one side of a train/eval split.
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