Human Image Segmentation With DeepLabV3Plus In TensorFlow Save

DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0

Project README

Human Image Segmentation with DeepLabV3+ in TensorFlow

DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0

Watch the YouTube video for better explaination: https://youtu.be/4LhUpCWBzT8

Dataset

Download the dataset: Person Segmentation

Weight file

Download the weight files from here: model.h5

Quantitative results

These results are on the validation/test set.

Accuacy F1 Jaccard Recall Precision
0.97404 0.95379 0.92124 0.95885 0.95683

Qualtiative results

These qualitative results are on the validation/test set. The figure consists of a) Input Image b) Ground Truth Mask c) Predicted Mask d) Masked Image :--------------------------------------------------------------------------------------:

These qualitative results are on random images taken from https://wallpapercave.com. The figure consists of a) Input Image b) Masked Image. :--------------------------------------------------------------------------------------:

Contact

For any query contact below:

Open Source Agenda is not affiliated with "Human Image Segmentation With DeepLabV3Plus In TensorFlow" Project. README Source: nikhilroxtomar/Human-Image-Segmentation-with-DeepLabV3Plus-in-TensorFlow

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