datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.PCB-Bank
PCB-Bank
PCB-Bank is a unified printed circuit board anomaly detection benchmark constructed from three public industrial datasets:
PCB1–PCB4: VisA
PCB5: Real-IAD
PCB6–PCB7: VISION
All subsets are reorganized into a common one-class anomaly detection format compatible with common MVTec AD / VisA-style pipelines.
Dataset Structure
PCB-Bank/
├── pcb1/
├── pcb2/
├── pcb3/
├── pcb4/
├── pcb5/
├── pcb6/
└── pcb7/
Each category follows:
pcbX/
├── train/
│ └── good/… See the full description on the dataset page: https://huggingface.co/datasets/MoxVox/PCB-Bank.PCB-Solder-Joint-Defect-Detection-Dataset
PCB Solder Joint Defect Detection Dataset
The PCB manufacturing industry is facing challenges in maintaining high-quality standards, particularly in the detection of solder joint defects post-wave and reflow soldering. Existing solutions often rely on manual inspection or less efficient automated systems that are prone to errors. This dataset aims to address the specific technical challenge of accurately identifying and classifying defects in solder joints, fulfilling the business… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/PCB-Solder-Joint-Defect-Detection-Dataset.PCB-Solder-Joint-Defect-Detection-Dataset
PCB Solder Joint Defect Detection Dataset
The PCB manufacturing industry is facing challenges in maintaining high-quality standards, particularly in the detection of solder joint defects post-wave and reflow soldering. Existing solutions often rely on manual inspection or less efficient automated systems that are prone to errors. This dataset aims to address the specific technical challenge of accurately identifying and classifying defects in solder joints, fulfilling the business… See the full description on the dataset page: https://huggingface.co/datasets/TerLiphi/PCB-Solder-Joint-Defect-Detection-Dataset.pcbm_metashift
PCBM Metashift
For the sake of reproducibility, this dataset hosts the postprocessed Metashift according to [Yuksekgonul et al.] for the use in Post-Hoc Concept Bottleneck Models.
Config Name
Description
task_1_bed_cat_dog
Task 1: bed(cat) -> bed(dog)
task_1_bed_dog_cat
Task 1: bed(dog) -> bed(cat)
task_2_table_books_cat
Task 2: table(books) -> table(cat)
task_2_table_books_dog
Task 2: table(books) -> table(dog)
task_2_table_cat_dog
Task 2: table(cat) ->… See the full description on the dataset page: https://huggingface.co/datasets/anonymous347928/pcbm_metashift.