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https://github.com/lorenzobloise/transmission_tower_electrical_cable_instance_segmentation
This repository contains the code used to train and test a Mask R-CNN model for instance segmentation of transmission towers and electrical cables. We also implemented classic data augmentation techniques and a new method introduced in the paper "Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation".
https://github.com/lorenzobloise/transmission_tower_electrical_cable_instance_segmentation
bbox cnn coco computer-vision copy-paste deep-learning instance-segmentation mask-rcnn pycocotools python pytorch segmentation torchvision
Last synced: 14 days ago
JSON representation
This repository contains the code used to train and test a Mask R-CNN model for instance segmentation of transmission towers and electrical cables. We also implemented classic data augmentation techniques and a new method introduced in the paper "Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation".
- Host: GitHub
- URL: https://github.com/lorenzobloise/transmission_tower_electrical_cable_instance_segmentation
- Owner: lorenzobloise
- Created: 2024-11-04T11:18:38.000Z (15 days ago)
- Default Branch: main
- Last Pushed: 2024-11-04T15:43:19.000Z (15 days ago)
- Last Synced: 2024-11-04T16:38:08.595Z (15 days ago)
- Topics: bbox, cnn, coco, computer-vision, copy-paste, deep-learning, instance-segmentation, mask-rcnn, pycocotools, python, pytorch, segmentation, torchvision
- Language: Jupyter Notebook
- Homepage:
- Size: 280 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md