Human-Image-Segmentation-with-DeepLabV3Plus-in-TensorFlow
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DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0
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
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These qualitative results are on random images taken from https://wallpapercave.com. The figure consists of a) Input Image b) Masked Image.
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Contact
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