awesome-python
Section: Computer Vision · Image augmentation library in Python for machine learning.
Entry
Appears in 4 awesome lists
Image augmentation library in Python for machine learning. http://augmentor.readthedocs.io
Section: Computer Vision · Image augmentation library in Python for machine learning.
Section: Computer Vision · Image augmentation library in Python for machine learning.
Section: CV: · Image augmentation library in Python for machine learning. http://augmentor.readthedocs.io
Section: PyTorch · Image augmentation library in Python for machine learning.
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
A collection of algorithms for image processing in Python.
MoCo, SimCLR, SimSiam, Barlow Twins, BYOL, NNCLR. vissl - Self-Supervised Learning with PyTorch: RotNet, Jigsaw, NPID, ClusterFit, PIRL, SimCLR, MoCo, DeepCluster, SwAV.