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| 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). | |