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README formatting

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  1. README.md +15 -15
README.md CHANGED
@@ -31,7 +31,7 @@ The multispectral images were captured by the Micasense RedEdge-P multispectral
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  DJI M210 V2 UAV. Radiometric calibration was performed for all images based on the known reflectance
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  values of a calibration panel. All images were used to process a Digital Ortophoto Map, which was then
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  sliced into the 256x256x6 image patches that are contained in this dataset. Regions from each of the
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- ortophotos were assigned for training (70%), validation (15%) and testing (15%).
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  Each image file is composed of six channels:
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@@ -50,20 +50,20 @@ were manually annotated using the CVAT software.
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  The dataset files are organized as following:
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  ```
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- dam-segmentation
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- ├── test # Test dataset
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- │ ├── images
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- │ ├── mask_binary
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- │ └── mask_multiclass
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- ├── train # Training dataset
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- │ ├── images
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- │ ├── mask_binary
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- │ └── mask_multiclass
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- ├── val # Validation dataset
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- │ ├── images
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- │ ├── mask_binary
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- │ └── mask_multiclass
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- └── README.md
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  ```
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  DJI M210 V2 UAV. Radiometric calibration was performed for all images based on the known reflectance
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  values of a calibration panel. All images were used to process a Digital Ortophoto Map, which was then
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  sliced into the 256x256x6 image patches that are contained in this dataset. Regions from each of the
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+ ortophotos were assigned for training (70%), validation (15%) and testing (15%).
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  Each image file is composed of six channels:
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  The dataset files are organized as following:
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  ```
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+ 📁 dam-segmentation
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+ ├── 📁 test # Test dataset
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+ │ ├── 📁 images
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+ │ ├── 📁 mask_binary
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+ │ └── 📁 mask_multiclass
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+ ├── 📁 train # Training dataset
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+ │ ├── 📁 images
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+ │ ├── 📁 mask_binary
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+ │ └── 📁 mask_multiclass
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+ ├── 📁 val # Validation dataset
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+ │ ├── 📁 images
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+ │ ├── 📁 mask_binary
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+ │ └── 📁 mask_multiclass
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+ └── 📝 README.md
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  ```
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