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)

Results

The sequence of the images are: 1) Input Image 2) Ground Truth Mask and 3) Prediction Mask

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