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README.md

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-license: mit
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+---
+license: mit
+---
+# Re-created Beetle Elytra Dataset
+
+This dataset is a **re-created** version of the original “2018-NEON-beetles” dataset, augmented with:
+- **Bounding boxes** for beetle object detection.
+- **Manually refined elytra coordinates** for precise morphological measurements.
+
+Our goal is to **streamline automated beetle trait analysis** by providing curated ground truths suitable for training and benchmarking deep learning models.
+
+### What’s Included
+- **High-resolution images** featuring multiple beetles, each with a scale bar and barcode.  
+- **Bounding box annotations** for each beetle (extracted using contour detection on Segment Anything Model (SAM) masks).  
+- **Elytra coordinates** for morphological trait estimation, specifically measuring elytra length and width.
+
+## Dataset Creation Process
+
+1. **Original Dataset**  
+   - We started with the [2018-NEON-beetles](https://huggingface.co/datasets/imageomics/2018-NEON-beetles) dataset, which had images and partial morphological annotations provided via [Zooniverse](https://www.zooniverse.org/).
+   
+2. **Segmentation & Bounding Box Extraction**  
+   - We leveraged the [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything) to generate masks for each beetle.  
+   - **Contour detection** was applied to masks to produce bounding box coordinates.
+
+3. **Elytra Annotation Recalibration**  
+   - The original elytra keypoints from Zooniverse were mapped to the newly cropped bounding boxes.  
+   - Adjustments were made to ensure consistent coordinate references (top-left origin, pixel-based).
+
+4. **Final Verification**  
+   - A small portion of images were manually inspected to confirm the correctness of bounding boxes and elytra points.  
+   - Any outliers or flawed annotations were corrected.
+
+## Intended Uses
+
+- **Object Detection**: Training and evaluating models (e.g., YOLO) to detect and localize beetles in group images.  
+- **Coordinate Regression**: Predicting elytra keypoints for morphological trait analysis (length, width).  
+- **Ecological/Biodiversity Research**: Enabling large-scale measurement and comparison across beetle populations.
+
+## Citation
+### BibTeX:
+
+## Acknowledgements
+This work was supported by the NSF OAC 2118240 Imageomics Institute award and was initiated at Beetlepalooza 2024. More details about Beetlepalooza can be found on https://github.com/Imageomics/BeetlePalooza-2024.