https://github.com/samcomber/object_detection_paper
https://github.com/samcomber/object_detection_paper
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/samcomber/object_detection_paper
- Owner: SamComber
- Created: 2021-02-13T18:07:22.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-02-13T18:14:14.000Z (over 5 years ago)
- Last Synced: 2025-07-23T14:43:41.644Z (11 months ago)
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# object_detection_paper
This repository hosts mock data and computational notebooks for the paper: "How can object detection be used to understand drivers of consumption space attractiveness?"
The notebook `maskrcnn_predictions.ipynb` demonstrates how to extract object-level predictions using the Mask R-CNN architecture using mock images. `visualisations.ipynb` and `modelling.ipynb` provide code to reproduce the visualisations and regression output, respectively.