DeeplapV3+_ResNet_Res2Net_semantic_segmentation

Just use VOC2012 as the dataset, and take some school pictures to do the forecast. But the result is not good enough, maybe the samll dataset caused the rough thing.

VOC2012 download link: VOC2012 download link

trained DeeplabV3+ using ResNet101 as backbone

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trained DeeplabV3+ using Res2Net as backbone

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
data		data
synthesized		synthesized
utility		utility
.gitignore		.gitignore
README.md		README.md
cityscapes_labels.py		cityscapes_labels.py
dataset2.py		dataset2.py
deeplabV3plus.py		deeplabV3plus.py
pred.py		pred.py
requirements.txt		requirements.txt
res2net.py		res2net.py
restore_model.py		restore_model.py
test.py		test.py
train.py		train.py
yolov3.py		yolov3.py
zh-cn.md		zh-cn.md

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DeeplapV3+_ResNet_Res2Net_semantic_segmentation

trained DeeplabV3+ using ResNet101 as backbone

trained DeeplabV3+ using Res2Net as backbone

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ActonMartin/DeeplabV3plus_ResNet_Res2Net_semantic_segmentation

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DeeplapV3+_ResNet_Res2Net_semantic_segmentation

trained DeeplabV3+ using ResNet101 as backbone

trained DeeplabV3+ using Res2Net as backbone

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