Image Segmentation Exercises

*Projects includes MODNet, DeeplabV3+, PSPNet, Semantic Segmentaton in PyTorch, Semantic Segmentation for VITON, Human Part Segmentation, YOLACT, YOLOP.

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Image Matting

MODNet Image Matting

Kaggle: rkuo2000/modnet-image-matting

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Semantic Segmentation

DeepLabV3 plus

Kaggle: rkuo2000/deeplabv3-plus

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Image Segmentation Keras (PSPNet)

Kaggle: rkuo2000/image-segmentation-keras

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Semantic Segmentation

Kaggle: rkuo2000/semantic-segmentation
Datasets:

• prepare ADE20K dataset
• prepare MSCOCO dataset
• prepare CityScapes dataset
• prepare PASCAL VOC dataset

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Semantic Segmentation for VITON

Kaggle: rkuo2000/semantic-segmentation-viton
Train PSPNet with VITON dataset & Test it

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PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

Kaggle: rkuo2000/PaddleSeg OpticDisc

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Human Part Segmentation

Kagge: rkuo2000/human-part-segmentation

Instance Segmentation

Kaggle: rkuo2000/yolact

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Video Object Segmentation

N/A

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Panoptic Segmentation

Panoptic Driving Perception

Kaggle: rkuo2000/yolop

This site was last updated December 22, 2022.