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README.md

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 # Flip-n-Slide
-## A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery 
 
-Flip-n-Slide is a concise tiling strategy for large scientific images that preserves spatial context in preprocessing for use with GPU-enabled deep learning algorithms. Flip-n-Slide allows objects-of-interest to be represented at multiple tile positions and orientations, improving the detection of underrepresented classes (<5% of overall data) in cases of class imbalance from preprocessing alone. This approach can also be implemented alongside optimizations and architectures for cases of extreme class imbalance (<1% of overall data) to allow for further improved accuracy and prediction.
+Flip-n-Slide is a concise tiling and augmentation strategy to prepare large scientific images for use with GPU-enabled algorithms. `flipnslide` is a Python package that outputs PyTorch ready preprocessed datasets from a single large image.
 
-## Here will go instructions for use when ready.
+## Documentation
+
+The documentation for `flipnside` is under construction, and will be hosted on [Read the Docs]().
+
+## Installation and Dependencies
+
+For now, `flipnside` can be implemented locally by cloning this repository.
+
+```bash
+git clone https://github.com/elliesch/flipnslide.git
+```
+Check back next week for instructions on installing this from PyPI and Conda Forge.
+
+## Attribution
+
+If you make use of this code, please cite the ICLR paper:
+
+    @inproceedings{DBLP:conf/iclr/HuangLCQFTL23,
+      author       = {Ellianna Abrahams and
+                      Tasha Snow and
+                      Matthew R. Siegfried and
+                      Fernando Pérez},
+      title        = {A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery},
+      booktitle    = {The Twelfth International Conference on Learning Representations,
+                  {ICLR} 2024, Vienna, Austria, May 7-11, 2024},
+      publisher    = {OpenReview.net},
+      year         = {2024},
+      url          = {upcoming},
+    }
+
+## License
+
+Copyright 2024 Ellianna Abrahams, Tasha Snow, Matthew R. Siegfried, Fernando Pérez, and contributors.
+
+``flipnslide`` is free software made available under the MIT License. For details see
+the [LICENSE](https://github.com/elliesch/flipnslide/blob/main/LICENSE) file.
+
+## Contributors
+
+See the upcoming AUTHORS file for a complete list of contributors to the project.