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Image Segmentation Using Keras and W&B
This report explores semantic segmentation with a UNET like architecture in Keras and interactively visualizes the model's prediction in Weights & Biases.
semantic-segmentation kera wandb visualization
MedicalZoo PyTorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning
SemTorch
Different deep learning architectures definitions that can be applied to image segmentation.
semantic-segmentation instance-segmentation salient-object-detection segmentation
Detectron2
FAIR's next-generation platform for object detection and segmentation.
object-detection detectron detectron2 pytorch
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
A composite dataset that unifies semantic segmentation datasets from different domains.
segmentation instance-segmentation panoptic-segmentation multi-domain
SOLT: Data Augmentation for Deep Learning
Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points.
data-augmentation deep-learning pytorch computer-vision
OpenMMLab Computer Vision
MMCV is a python library for CV research and supports many research projects such as object detection, segmentation, pose estimation, action ...
computer-vision object-detection 3d 3d-object-detection
Segmentation Models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
model-store models unet computer-vision
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