pcb
Datasets
All datasets matching “pcb”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-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.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.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.prep_test_pcb_pile_25This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 25,
"total_frames": 17044,
"total_tasks": 1,
"total_videos": 50,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:25"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/1g0rrr/prep_test_pcb_pile_25.pcb-detection-augmented-obb
PCB Detection Augmented OBB Dataset
Augmented PCB oriented-bounding-box data in YOLO format from
SanderGi/PCB-Detection.
The repository includes train, validation, and test images; OBB labels; dataset
configuration; and training outputs used by the published PCB OBB model.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="SanderGi/pcb-detection-augmented-obb",
repo_type="dataset",
local_dir="data/augmented_obb",
)
See… See the full description on the dataset page: https://huggingface.co/datasets/SanderGi/pcb-detection-augmented-obb.