pcb
Datasets
All datasets matching “pcb”PCB_COMPONENTS_LABELLED
PCB Components Labelled
YOLO-format object detection datasets and trained weights for detecting electronic
components on PCB (printed circuit board) images. Two dataset/model pairs are
included, covering a coarse 5-class label set and a fine-grained 17-class label set.
Contents
pcb_final_v4/ 17-class dataset (train/valid, YOLO format)
pcb_5class_tiled/ 5-class dataset, tiled images (train/valid, YOLO format)… See the full description on the dataset page: https://huggingface.co/datasets/tutitata/PCB_COMPONENTS_LABELLED.MoleculeNet_PCBA
MoleculeNet PCBA
PCBA (PubChem BioAssay) dataset [1], part of MoleculeNet [2] benchmark. It is intended to be used through
scikit-fingerprints library.
The task is to predict biological activity against 128 bioassays, generated by high-throughput screening (HTS). All tasks are binary active/non-active.
Note that targets have missing values. Algorithms should be evaluated only on present labels. For training data, you may want to impute them, e.g. with zeros.
Characteristic… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeNet_PCBA.PCB_defect
⚡ 데이터셋 요약
본 데이터셋은 naked PCB(부품 실장 전 PCB) 이미지로 구성되어 있으며, 총 1386장, 6종 결함, 이미지당 3~5개 결함을 포함
이미지는 실제 AOI 유사 촬영 시스템으로 템플릿 보드를 촬영한 뒤, Photoshop으로 결함을 삽입해 합성
즉, “현장(real) 결함”이 아니라, 제어된 합성 결함이라는 점이 데이터 해석/일반화에서 중요한 전제
🌳 데이터셋 구조
PCB_defect/
├── README.md
├── Meta Data/
│ └── Huang et al.(2019), A PCB Dataset for Defects Detection and Classification.pdf
├── Missing_hole/ # 결함 유형
│ ├── missing_hole01.jpg # [입력] PCB 이미지
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/RobotHuman/PCB_defect.SN-PCBAS-2026
SoccerNet SN-PCBAS-2026
Request access on this page and complete the SoccerNet NDA form. Access requires manual approval.
If you previously requested access to this repo before it requsted an NDA signing, retract your request here: https://huggingface.co/settings/gated-repos and request it again.
pcb-defect-segmentation
Dataset Labels
['dry_joint', 'incorrect_installation', 'pcb_damage', 'short_circuit']
Number of Images
{'valid': 25, 'train': 128, 'test': 36}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/pcb-defect-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/diplom-qz7q6/defects-2q87r/dataset/8… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/pcb-defect-segmentation.pcb-detection-augmented-seg
PCB Detection Augmented Segmentation Dataset
Augmented PCB segmentation data in YOLO format from
SanderGi/PCB-Detection.
The repository includes train, validation, and test images; segmentation labels
and masks; dataset configuration; and training outputs used by the published
PCB segmentation model.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="SanderGi/pcb-detection-augmented-seg",
repo_type="dataset"… See the full description on the dataset page: https://huggingface.co/datasets/SanderGi/pcb-detection-augmented-seg.