This repository contains a list of AutoML related models and libraries.
automl efficientdet object-detection detection efficientnetThis respository aims to provide accurate real-time semantic segmentation code for mobile devices in PyTorch, with pretrained weights on Cityscapes. This can be used for efficient segmentation on a variety of real-world street images, including datasets like Mapillary Vistas, KITTI, and CamVid. The models are implementations of MobileNetV3 (both large and small variants) with a modified segmentation head based on LR-ASPP. The top model was able to achieve 72.3% mIoU accuracy on Cityscapes val, while running at up to 37.3 FPS on a GPU. Please see below for detailed benchmarks.
computer-vision deep-learning pytorch semantic-segmentation kitti-dataset cityscapes edge-computing deeplabv3 mapillary-vistas-dataset aspp mobilenetv3 efficientnet
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