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- README.dataset.txt +11 -0
- README.roboflow.txt +27 -0
- data.yaml +13 -0
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README.dataset.txt
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# acl x-ray > release
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https://universe.roboflow.com/roboflow-100/acl-x-ray
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Provided by a Roboflow user
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License: CC BY 4.0
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This dataset was originally created by [Thuan Phat Nguyen](https://universe.roboflow.com/objectdetection-9lu9z/). To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/objectdetection-9lu9z/detectron2-acl.
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This dataset is part of [RF100](https://rf100.org), an [Intel-sponsored](https://www.intel.com/) initiative to create a new object detection benchmark for model generalizability.
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Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark
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README.roboflow.txt
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acl x-ray - v2 release
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==============================
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This dataset was exported via roboflow.com on May 10, 2023 at 9:05 PM 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 3059 images.
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Acl-x-ray are annotated in YOLOv8 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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data.yaml
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train: ../train/images
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val: ../valid/images
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test: ../test/images
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nc: 1
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names: ['acl']
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roboflow:
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workspace: roboflow-100
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project: acl-x-ray
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version: 2
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license: CC BY 4.0
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url: https://universe.roboflow.com/roboflow-100/acl-x-ray/dataset/2
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