isht7/pytorch-deeplab-resnet
DeepLab resnet v2 model in pytorch
This project helps researchers and engineers who work with visual data by providing a way to segment images, identifying distinct objects or regions within them. You feed in images and their corresponding ground truth labels, and it outputs a trained model that can then predict pixel-level classifications for new images. It is used by computer vision practitioners focused on tasks like semantic segmentation.
603 stars. No commits in the last 6 months.
Use this if you need to train a DeepLab-ResNet v2 model to perform pixel-level classification on your own image datasets, especially if you have images that might benefit from multi-scale analysis.
Not ideal if you need a solution for object detection (bounding boxes) or image classification (single label per image), or if you require an out-of-the-box solution without any programming or deep learning expertise.
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Python
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MIT
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Last pushed
Sep 05, 2023
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