Proyek ini bertujuan untuk mengembangkan model pembelajaran mesin berbasis deep learning yang dapat mengklasifikasikan berbagai jenis serangga yang sering ditemukan di lahan pertanian. MobileNetV3 adalah arsitektur jaringan saraf konvolusional (CNN) yang ringan dan efisien.
CNN model to classify garbage
轻量化卷积神经网络实现（SqueezeNet/MobileNet/ShuffleNet/MnasNet）
CenterNet: Tiny Object Detection for TFJS and NodeJS
This repo uses pre-trained SSD MobileNet V3 model to detect objects belonging to 80 different classes in images and videos
Tensorflow implementation for two new MobileNetV3 models!
An implementation of MobileNetV3 with pyTorch
A tensorflow2 implementation of MobileNet-V3.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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