| --- |
| title: Drexel Metadata App |
| emoji: 🐟 |
| colorFrom: gray |
| colorTo: red |
| sdk: docker |
| app_file: app.py |
| pinned: false |
| license: mit |
| description: >- |
| Generate object detection metadata (e.g., measurements and trait presence/absence) for fish specimen images using imageomics/Drexel-metadata-generator model. |
| tags: |
| - fish |
| - biology |
| - computer-vision |
| - visualization |
| - bioinformatics |
| - metadata |
| - image analysis |
| - applied machine learning |
| - contrast enhancement |
| - detectron2 |
| - images |
| - museum specimen |
| - metadata generation |
| - object detection |
| --- |
| |
| # Drexel Metadata App |
| Generate object detection metadata for a fish image using the [imageomics/Drexel-metadata-generator model](https://huggingface.co/imageomics/Drexel-metadata-generator). |
| The model will create a visualization based on the image, a mask of the fish outline, and JSON metadata. |
| The source code for the model is available on GitHub at [hdr-bgnn/drexel_metadata](https://github.com/hdr-bgnn/drexel_metadata). |
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