qubvel / segmentation_modelsLinks
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
☆4,904Updated last year
Alternatives and similar repositories for segmentation_models
Users that are interested in segmentation_models are comparing it to the libraries listed below
Sorting:
- Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.☆3,011Updated last year
- Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.☆11,209Updated this week
- Keras implementation of Deeplab v3+ with pretrained weights☆1,374Updated last year
- unet for image segmentation☆4,862Updated last year
- Classification models trained on ImageNet. Keras.☆1,234Updated 3 years ago
- A collection of loss functions for medical image segmentation☆3,984Updated 2 years ago
- Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!☆2,523Updated 4 years ago
- Image augmentation library in Python for machine learning.☆5,146Updated last year
- [IEEE TMI] Official Implementation for UNet++☆2,567Updated 4 months ago
- awesome-semantic-segmentation☆10,794Updated 4 years ago
- Implementation of EfficientNet model. Keras and TensorFlow Keras.☆2,102Updated last year
- Generic U-Net Tensorflow implementation for image segmentation☆1,917Updated 5 years ago
- Semantic Segmentation Architectures Implemented in PyTorch☆3,419Updated 2 years ago
- Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset☆5,062Updated last year
- Image augmentation for machine learning experiments.☆14,718Updated last year
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,564Updated 2 months ago
- Annotate quickly images.☆1,449Updated 3 years ago
- UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset☆1,061Updated 3 years ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,232Updated 6 months ago
- Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.☆2,005Updated last year
- Semantic segmentation models, datasets and losses implemented in PyTorch.☆1,806Updated 10 months ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,408Updated last year
- PyTorch for Semantic Segmentation☆1,737Updated 6 years ago
- Paper and implementation of UNet-related model.☆2,575Updated 5 years ago
- Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation☆877Updated last year
- Sandbox for training deep learning networks☆3,019Updated last year
- DeepLab v3+ model in PyTorch. Support different backbones.☆2,994Updated last year
- Most popular metrics used to evaluate object detection algorithms.☆5,090Updated 5 months ago
- Keras implementation of RetinaNet object detection.☆4,395Updated 2 years ago
- The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semant…☆3,305Updated 3 years ago