rishizek/tensorflow-deeplab-v3-plus
TensorFlow implementation of DeepLabv3+ for semantic image segmentation on PASCAL VOC and Cityscapes datasets.

Velocity · 7d
+0.3
★ / day
Trend
→steady
star history
This repository reproduces the DeepLabv3+ semantic image segmentation model in TensorFlow. It implements an encoder-decoder architecture with atrous separable convolutions for pixel-level image segmentation. The project provides training scripts and utilities for working with standard computer vision datasets including PASCAL VOC and Cityscapes, handling data preparation in TFRecord format.