Rotated-Object-Detection

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Feature Pyramid Networks for Object Detection

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

PyTorch Faster R-CNN Object Detection on Custom Dataset

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.