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Bone Age Maturity estimation using a Lateral Cephalogram X-ray image and deep neural networks (UNet)
Google Brain AutoML
AI Toolkit for Healthcare Imaging
NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Free to use online tool for labelling photos. https://makesense.ai
Implementation of EfficientNet model. Keras and TensorFlow Keras.
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch