https://github.com/agentmorris/noaa-fish
Data preparation and model training for the NOAA Puget Sound Nearshore Fish dataset
https://github.com/agentmorris/noaa-fish
Last synced: 4 months ago
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Data preparation and model training for the NOAA Puget Sound Nearshore Fish dataset
- Host: GitHub
- URL: https://github.com/agentmorris/noaa-fish
- Owner: agentmorris
- Created: 2023-08-04T18:32:41.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-11-03T00:19:58.000Z (over 1 year ago)
- Last Synced: 2025-04-01T14:58:54.460Z (about 1 year ago)
- Language: Python
- Size: 62.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## NOAA Puget Sound Nearshore Fish data curation code
### Overview
The code in this folder prepares data for the NOAA Puget Sound Nearshore Fish dataset on lila.science, and trains a preliminary detector.
Gratuitous image with ground truth and predicted bounding boxes, from the results on the validation locations:
### Files
#### prepare-noaa-fish-data-for-lila.py
Given the Excel file provided by NOAA, prepare data in COCO format for release on LILA.
#### prepare-noaa-fish-data-for-training.py
* Convert annotations from COCO format to YOLO format
* Split locations into train/val
* Train YOLOv5 (command-line instructions, not done programmatically)
* Validate and preview training results on train/val data