dataset uploaded by roboflow2huggingface package
Browse files- README.dataset.txt +2 -2
- README.md +20 -17
- README.roboflow.txt +10 -7
- crack_detection_dataset.py +10 -10
- data/test.zip +2 -2
- data/train.zip +2 -2
- data/valid-mini.zip +2 -2
- data/valid.zip +2 -2
- split_name_to_num_samples.json +1 -1
- thumbnail.jpg +2 -2
README.dataset.txt
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#
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https://universe.roboflow.com/
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Provided by a Roboflow user
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License: CC BY 4.0
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# detr_crack_dataset > 2024-01-09 9:29am
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https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset
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Provided by a Roboflow user
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License: CC BY 4.0
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README.md
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### Dataset Labels
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```
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['crack']
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```
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### Number of Images
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```json
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{'valid':
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```
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```
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### Roboflow Dataset Page
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[https://universe.roboflow.com/
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### Citation
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```
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@misc{
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title = {
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type = { Open Source Dataset },
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author = {
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howpublished = { \\url{ https://universe.roboflow.com/
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url = { https://universe.roboflow.com/
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = {
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month = {
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note = { visited on 2024-01-
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}
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```
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CC BY 4.0
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### Dataset Summary
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This dataset was exported via roboflow.com on
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
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* understand unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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The following pre-processing was applied to each image:
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
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* Resize to 200x200 (Stretch)
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No image augmentation techniques were applied.
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### Dataset Labels
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```
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['crack', 'mold', 'peeling_paint', 'stairstep_crack', 'water_seepage']
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```
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### Number of Images
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```json
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{'valid': 462, 'test': 225, 'train': 2263}
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```
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```
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### Roboflow Dataset Page
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[https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset/dataset/1](https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset/dataset/1?ref=roboflow2huggingface)
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### Citation
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```
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@misc{ detr_crack_dataset_dataset,
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title = { detr_crack_dataset Dataset },
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type = { Open Source Dataset },
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author = { objectdetection },
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howpublished = { \\url{ https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset } },
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url = { https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset },
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = { 2024 },
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month = { jan },
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note = { visited on 2024-01-09 },
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}
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```
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CC BY 4.0
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### Dataset Summary
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This dataset was exported via roboflow.com on January 9, 2024 at 4:01 AM GMT
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
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* understand and search unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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For state of the art Computer Vision training notebooks you can use with this dataset,
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visit https://github.com/roboflow/notebooks
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To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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The dataset includes 2950 images.
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Cracks-AX10-cracks are annotated in COCO format.
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The following pre-processing was applied to each image:
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No image augmentation techniques were applied.
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README.roboflow.txt
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==============================
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This dataset was exported via roboflow.com on
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
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* understand unstructured image data
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* annotate, and create datasets
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* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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-
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-
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The following pre-processing was applied to each image:
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* Auto-orientation of pixel data (with EXIF-orientation stripping)
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-
* Resize to 200x200 (Stretch)
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No image augmentation techniques were applied.
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detr_crack_dataset - v1 2024-01-09 9:29am
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==============================
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This dataset was exported via roboflow.com on January 9, 2024 at 4:01 AM GMT
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Roboflow is an end-to-end computer vision platform that helps you
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* collaborate with your team on computer vision projects
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* collect & organize images
|
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+
* understand and search unstructured image data
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11 |
* annotate, and create datasets
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12 |
* export, train, and deploy computer vision models
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* use active learning to improve your dataset over time
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+
For state of the art Computer Vision training notebooks you can use with this dataset,
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visit https://github.com/roboflow/notebooks
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+
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+
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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+
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The dataset includes 2950 images.
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Cracks-AX10-cracks are annotated in COCO format.
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The following pre-processing was applied to each image:
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No image augmentation techniques were applied.
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crack_detection_dataset.py
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import datasets
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_HOMEPAGE = "https://universe.roboflow.com/
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_LICENSE = "CC BY 4.0"
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_CITATION = """\
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@misc{
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title = {
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type = { Open Source Dataset },
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author = {
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howpublished = { \\url{ https://universe.roboflow.com/
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url = { https://universe.roboflow.com/
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = {
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month = {
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note = { visited on 2024-01-
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}
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"""
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_CATEGORIES = ['crack']
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_ANNOTATION_FILENAME = "_annotations.coco.json"
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import datasets
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_HOMEPAGE = "https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset/dataset/1"
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_LICENSE = "CC BY 4.0"
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_CITATION = """\
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@misc{ detr_crack_dataset_dataset,
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title = { detr_crack_dataset Dataset },
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type = { Open Source Dataset },
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author = { objectdetection },
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howpublished = { \\url{ https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset } },
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url = { https://universe.roboflow.com/objectdetection-qxiqx/detr_crack_dataset },
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journal = { Roboflow Universe },
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publisher = { Roboflow },
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year = { 2024 },
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month = { jan },
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note = { visited on 2024-01-09 },
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}
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"""
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_CATEGORIES = ['crack', 'mold', 'peeling_paint', 'stairstep_crack', 'water_seepage']
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_ANNOTATION_FILENAME = "_annotations.coco.json"
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data/test.zip
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size 2432244
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data/train.zip
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data/valid-mini.zip
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data/valid.zip
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split_name_to_num_samples.json
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{"valid":
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{"valid": 462, "test": 225, "train": 2263}
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thumbnail.jpg
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Git LFS Details
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