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AutomlGoogle Brain AutoML
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food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
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awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
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image embeddingsUsing efficientnet to provide embeddings for retrieval
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EfficientUNetPlusPlusDecoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.
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quarkdetQuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
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Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
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Pytorch Image ModelsPyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
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Segmentation modelsSegmentation models with pretrained backbones. Keras and TensorFlow Keras.
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flexible-yolov5More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam,dcn and so on), and tensorrt
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detectron2 backbonedetectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
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TensorMONKA collection of deep learning models (PyTorch implemtation)
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efficientnet-jaxEfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
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AIAssistCAIAssistC是一个AI游戏助手,使用OpenCv、DNN、Tensorflow、ssd_mobilenet/efficientdet、hidriver、MFC等技术,截取游戏屏幕进行对象识别,使用虚拟鼠标键盘驱动实现自动瞄准/自动开枪等功能,提升玩家的游戏体验。
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NARUTO-HandSignDetection物体検出を用いてNARUTOの印(子~亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)
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