GitHub - Shifat7/CapstoneProject-ImageClassification-LULC: Land Use / Land Cover classification of satellite imagery without much labelled data

Land Use / Land Cover classification of satellite imagery without much labelled data

This repository incorporates the work of:

Scheibenreif, Hanna, Mommert, Borth, Self-supervised Vision Transformers for Land-cover Segmentation and Classification, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, pp. 1422-1431

Additionally, it includes code from the following sources:

Name		Name	Last commit message	Last commit date
Latest commit History 93 Commits
Data_Downloader		Data_Downloader
Patch_Cropper		Patch_Cropper
Transformer_SSL		Transformer_SSL
__pycache__		__pycache__
configs		configs
downstream_eval_scripts/classification		downstream_eval_scripts/classification
environments		environments
input		input
splits		splits
wandb		wandb
.gitignore		.gitignore
README.md		README.md
UI_ProgressBar.py		UI_ProgressBar.py
UI_draft.py		UI_draft.py
d_swin_utils.py		d_swin_utils.py
dfc_dataset.py		dfc_dataset.py
dfc_dataset_sandbox.py		dfc_dataset_sandbox.py
dfc_model.py		dfc_model.py
dfc_sen12ms_dataset.py		dfc_sen12ms_dataset.py
exceptions.py		exceptions.py
image.png		image.png
metrics.py		metrics.py
pie_chart_gui.py		pie_chart_gui.py
qgis_prep.py		qgis_prep.py
resnet_simclr.py		resnet_simclr.py
searcher.py		searcher.py
simclr_utils.py		simclr_utils.py
train_d_swin_backbone.py		train_d_swin_backbone.py
train_evaluation.py		train_evaluation.py
train_evaluation_s2.py		train_evaluation_s2.py
utils.py		utils.py
validation_utils.py		validation_utils.py
visualisation_dfc.py		visualisation_dfc.py
visualisation_ourdata.py		visualisation_ourdata.py