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| title: TerraNomaly | |
| emoji: π | |
| colorFrom: gray | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 5.9.1 | |
| app_file: app.py | |
| pinned: false | |
| # TerraNomaly | |
| This project aims to identify visually interesting satellite images from the EarthView dataset. | |
| ## How to Use | |
| 1. **Labeling Tab:** | |
| * View satellite images. | |
| * Click "Cool" or "Not Cool" to label the image. | |
| * Your labeled data will be saved in `labeled_data.json`. | |
| 2. **Display Tab:** | |
| * View new, unlabeled images. | |
| * Compare them to a selection of your previously labeled "cool" images. | |
| * Click "Refresh" to see a new set of images. | |
| ## Development | |
| This is a basic demo. Future development could include: | |
| * Training a machine learning model on the labeled data. | |
| * Using the model to predict the "coolness" of new images. | |
| * Expanding to other subsets of the EarthView dataset. | |