Processed Data for 'Exploration of TPU Architectures for the OptimizedTransformer in Drainage Crossing Detection'

This dataset is intended for the reproducability of the methods in 'Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection', along with the provided GitHub repository at https://github.com/SHUs-Lab/BTSD24AN.The dataset consists of 6,012 LiDAR-derived DEM georeferenced rasters in TIF format, each with an 800m x 800m extent and a cell size of 1m x 1m. Elevation data is stored as 32-bit floating point values, indicating meters above sea level, and comes from the USGS 3DEP program.The rasters cover four watersheds in the Continental United States: Sacramento-Stone Corral in California, Vermilion River in Illinois, Maple River in North Dakota, and West Fork Big Blue in Nebraska. Drainage crossings within these watersheds were labeled as centroids, and corresponding rasters containing these centroids were extracted. Bounding boxes of 100m x 100m were defined around these centroids, and the data were converted to the COCO format for use with the DETR model.After filtering out anomalous rasters, 6,007 rasters with 13,141 drainage crossing bounding boxes were used. The Maple River Watershed data was reserved for transfer learning.The directory structure is as follows:<pre>processed_data<br>├── initial_data<br>│   ├── annotations<br>│   ├── test<br>│   ├── train<br>│   └── validate<br>└── transfer_data<br> ├── annotations<br> └── test</pre>