bonlime/keras-deeplab-v3-plus

Health v2 · maintenance only

Adoption not part of the score

1375 stars · 421 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Keras implementation of the DeepLab v3+ semantic image segmentation model with pretrained weights imported from the original TensorFlow checkpoint. It supports custom input shapes and class counts, and produces per-pixel class labels for images.

Use cases

• segment images into semantic classes with a pretrained deeplab v3+ model
• run pixel-level image segmentation in keras
• load original TF deeplab weights into a keras model
• fine-tune deeplab v3+ with a custom number of classes
• get per-pixel segmentation labels for photos

When to choose

• you need DeepLab v3+ semantic segmentation in a Keras/TensorFlow pipeline
• you want pretrained weights matching the original TF model's results
• you need custom input shapes or a custom number of segmentation classes

When to avoid

• you need an actively maintained project with issue support
• you use PyTorch or non-Keras frameworks
• you need the latest segmentation architectures or recent model improvements

Facets

library · maturity abandoned

machine-learning deep-learning image-processing computer-vision computer-vision image-processing deep-learning machine-learning python semantic-segmentation keras deeplabv3-plus pretrained-weights tensorflow mobilenetv2 xception

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markdown · JSON · MCP: product_card(name="bonlime/keras-deeplab-v3-plus")