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Add Swedish Forest Damage dataset #461

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merged 12 commits into from
Apr 2, 2022
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nilsleh
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@nilsleh nilsleh commented Mar 13, 2022

This PR adds the Forest Damage dataset for tree detection and tree health classification based on drone imagery coming in .jpg images.

Features:

  • 1543 images with 101,878 tree bounding boxes
  • subset of 840 images contains 44,522 tree health annotations

Example:
Screenshot from 2022-03-13 15-14-15

@github-actions github-actions bot added datasets Geospatial or benchmark datasets documentation Improvements or additions to documentation testing Continuous integration testing labels Mar 13, 2022
@adamjstewart adamjstewart added this to the 0.3.0 milestone Mar 13, 2022
tests/datasets/test_forestdamage.py Outdated Show resolved Hide resolved
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torchgeo/datasets/forestdamage.py Show resolved Hide resolved
@calebrob6 calebrob6 closed this Mar 30, 2022
@calebrob6 calebrob6 reopened this Mar 30, 2022
tests/data/forestdamage/data.py Outdated Show resolved Hide resolved
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@adamjstewart
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To fix the failing tests just run:

$ pip install pyupgrade
$ pyupgrade --py37-plus tests/data/forestdamage/data.py

calebrob6
calebrob6 previously approved these changes Mar 31, 2022
@adamjstewart adamjstewart merged commit 4c00b65 into microsoft:main Apr 2, 2022
remtav pushed a commit to remtav/torchgeo that referenced this pull request May 26, 2022
* add dataset

* md5

* added tests and data

* test

* remove type

* fix docs

* fix docs

* requested changes

* fix documentation and pyupgrade

* remove random

* missing license header
@adamjstewart adamjstewart mentioned this pull request Jul 11, 2022
yichiac pushed a commit to yichiac/torchgeo that referenced this pull request Apr 29, 2023
* add dataset

* md5

* added tests and data

* test

* remove type

* fix docs

* fix docs

* requested changes

* fix documentation and pyupgrade

* remove random

* missing license header
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3 participants