pcb-defect-segmentation

Tasks:

Image Segmentation

Tags:

roboflow

roboflow2huggingface

Dataset card Files Files and versions

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Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found pcb-defect-segmentation.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found pcb-defect-segmentation.py

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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

Citation

@misc{ defects-2q87r_dataset,
    title = { Defects Dataset },
    type = { Open Source Dataset },
    author = { Diplom },
    howpublished = { \\url{ https://universe.roboflow.com/diplom-qz7q6/defects-2q87r } },
    url = { https://universe.roboflow.com/diplom-qz7q6/defects-2q87r },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jan },
    note = { visited on 2023-01-27 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.com on January 27, 2023 at 1:45 PM GMT

Roboflow is an end-to-end computer vision platform that helps you

collaborate with your team on computer vision projects
collect & organize images
understand and search unstructured image data
annotate, and create datasets
export, train, and deploy computer vision models
use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 189 images. Defect are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.

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