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https://github.com/nikhilroxtomar/multiclass-segmentation-on-crowd-instance-level-human-parsing-chip-dataset-using-unet

Multiclass Segmentation using UNET on Crowd Instance-level Human Parsing (CHIP) dataset
https://github.com/nikhilroxtomar/multiclass-segmentation-on-crowd-instance-level-human-parsing-chip-dataset-using-unet

chip-dataset multiclass-segmentation unet

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Multiclass Segmentation using UNET on Crowd Instance-level Human Parsing (CHIP) dataset

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# Multiclass Segmentation on Crowd Instance-level Human Parsing (CHIP) Dataset using UNET
This repository contains the code for the Multiclass Segmentation using the UNET architecture on the Crowd Instance-level Human Parsing (CHIP) Dataset. The complete code is written using the TensorFlow frameowork.

## Dataset
Download the dataset: [Crowd Instance-level Human Parsing (CHIP)](https://drive.google.com/uc?id=1B9A9UCJYMwTL4oBEo4RZfbMZMaZhKJaz)

## Results
The sequence of the images are: 1) Input Image 2) Ground Truth Mask and 3) Prediction Mask
![](results/0000026.png)
![](results/0000044.png)
![](results/0000047.png)
![](results/0000415.png)

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