Upload AD dataset for both yolov8 and anomalib

anomaly-detection.cardboard.anomalib/README.dataset.txt

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+# anomaly-detection > 2023-08-30 4:52pm
+https://universe.roboflow.com/t3lab/anomaly-detection-zbp45
+
+Provided by a Roboflow user
+License: CC BY 4.0
+

anomaly-detection.cardboard.anomalib/README.roboflow.txt

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+
+anomaly-detection - v2 2023-08-30 4:52pm
+==============================
+
+This dataset was exported via roboflow.com on August 30, 2023 at 2:58 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 381 images.
+Boxes-anomaly are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+
+The following augmentation was applied to create 3 versions of each source image:
+* 50% probability of horizontal flip
+* Random rotation of between -5 and +5 degrees
+* Random brigthness adjustment of between -25 and +25 percent
+* Random exposure adjustment of between -6 and +6 percent
+* Random Gaussian blur of between 0 and 1.75 pixels
+
+

anomaly-detection.cardboard.anomalib/data.yaml

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+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 1
+names: ['anomaly']
+
+roboflow:
+  workspace: t3lab
+  project: anomaly-detection-zbp45
+  version: 2
+  license: CC BY 4.0
+  url: https://universe.roboflow.com/t3lab/anomaly-detection-zbp45/dataset/2