Multiclass Segmentation using UNET in TensorFlow | Crowd Instance-level Human Parsing (CHIP) Dataset

Published: 01 January 1970
on channel: Idiot Developer

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In this video, we will learn about multiclass segmentation using the UNET architecture in the TensorFlow framework. Here, we will use the Crowd Instance-level Human Parsing Dataset (CHIP) which contains 20 classes.

Timeline:
0:00:00 - Introduction
0:00:30 - Dataset: Crowd Instance-level Human Parsing Dataset (CHIP)
0:05:51 - UNET Implementation
0:22:04 - Training the UNET
1:03:57 - Testing: Prediction and Evaluation
1:39:00 - Ending: SUBSCRIBE!!!

Dataset Name: Crowd Instance-level Human Parsing Dataset (CHIP)
Dataset Link: https://drive.google.com/uc?id=1B9A9U...

Code: https://github.com/nikhilroxtomar/Mul...

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