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: 15 days 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 (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-31T18:13:16.000Z (11 months ago)
• Last Synced: 2024-06-11T16:27:49.031Z (5 months ago)
• Language: Python
• Size: 62.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• 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