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LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 Zigg AI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -12,17 +12,19 @@ The dataset is split into training and validation sets:
 The dataset follows the YOLO format with the following structure:
 ```
 dataset/
-├── train/
-│   ├── images/
+├── images/
+│   ├── train/
 │   │   └── *.jpg
-│   └── labels/
+│   └── val/
+│       └── *.jpg
+├── labels/
+│   ├── train/
+│   │   └── *.txt
+│   └── val/
 │       └── *.txt
-├── val/
-│   ├── images/
-│   │   └── *.jpg
-│   └── labels/
-│       └── *.txt
-└── dataset.yaml
+├── dataset.yaml
+├── LICENSE
+└── README.md
 ```
 
 ### Label Format

dataset.yaml

@@ -1,6 +1,6 @@
 path: zigg-ai/content-regions-1k-yolo
-train: train/images
-val: val/images
+train: images/train
+val: images/val
 test: ''
 names:
   0: content