mobilenetv3-large

There are 0 repository under mobilenetv3-large topic.

shaoshengsong / MobileNetV3-SSD-Compact-Version
MobileNetV3 SSD的简洁版本
mobilenet mobilenet-ssd mobilenetv3-large mobilenetv3 ssd ssd-mobilenet
Language:Python 77
sirius-ai / MobileNetV3-TF
Tensorflow implementation for two new MobileNetV3 models!
mobilenet mobilenet-v3 mobilenetv3 mobilenetv3-large mobilenetv3-small tensorflow
Language:Python 26
Sakib1263 / MobileNet-1D-2D-Tensorflow-Keras
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
machine-learning deep-learning convolutional-neural-networks classification regression 1d-cnn 2d-cnn tensorflow2 keras-tensorflow python3 mobilenet mobilenetv2 mobilenetv3-large mobilenetv3-small demo jupyter-notebook end-to-end-pipeline
Language:Jupyter Notebook 13
yakhyo / mobilenetv3-pytorch
PyTorch Implementation of MobileNetV3 large and small
mobilenetv3 mobilenetv3-large mobilenetv3-small
Language:Python 5
kaustubhbhavsar / animals-10-classification
Multiclass Classification of Imbalanced Image Dataset using Transfer Learning.
image-classification multiclass-image-classification class-weight imbalanced-data keras lenet minivggnet mobilenetv3-large tensorflow transfer-learning image-augmentation resnet50v2 convolutional-neural-networks mobilenetv3-small
Language:Jupyter Notebook 3
mtanf / gng
DeepLabV3+ based network for fake faces detection
fake-detection deeplab-v3-plus explainability image-forgery interpretability mobilenetv3-large segmentation shap
Language:Jupyter Notebook 1
syahdannoor / Disability_4
Repo Tim Disability 4. Demo Day Machine Learning with Tensorflow, PROA Digitalent Kemkominfo 2022.
2022 disability hand-gesture-recognition image-classification keras-tensorflow machine-learning tensorflow dts-proa-batch-2 transfer-learning cnn efficientnetb7 inceptionv3 mobilenetv3-large resnet-50 vgg16
Language:Jupyter Notebook 1
Wahid234 / Skin-Cancer-Detection
Compare the performance of four deep learning models—CNN, MobileNetV3 Large, VGG16, and EfficientNetB4—for the automated detection and classification of skin lesions
cnn-classification efficientnetb4 mobilenetv3-large vgg16-model
Language:Jupyter Notebook 0
SayamAlt / Brain-Tumor-Image-Classification
Successfully developed an image classification model to classify images of distinct types of brain tumors such as glioma tumor, meningioma tumor, pituitary tumor, etc.
alexnet convolutional-neural-networks data-loader deep-learning densenet121 fine-tuning-cnns image-classification mobilenetv3-large model-training-and-evaluation pytorch resnet-50 vgg16
Language:Jupyter Notebook
SayamAlt / Flowers-Classification-using-CNN
Successfully developed a CNN model which can precisely classify flowers upto an accuracy of more than 80% on the test set.
alexnet-model computer-vision convolutional-neural-networks densenet121-pytorch image-classification mobilenetv3-large model-training-and-evaluation multiclass-classification pytorch resnet-50 vgg16
Language:Jupyter Notebook
SayamAlt / Grapevine-Leaves-Image-Classification-Using-CNNs
Successfully developed an image classification model using PyTorch to classify the species of grapevine leaves based on their corresponding images.
alexnet-pytorch convolutional-neural-networks data-loader deep-learning densenet169 fine-tuning-cnns image-classification mobilenetv3-large model-inference model-training-and-evaluation multiclass-classification resnet50 vgg19
Language:Jupyter Notebook
SayamAlt / Lung-Cancer-Detection-using-CNNs
This project focuses on detecting lung cancer from medical images using Convolutional Neural Networks (CNNs). It includes custom-built CNNs and fine-tuned pretrained models such as ResNet101, DenseNet121, AlexNet, and VGG16 to improve detection accuracy.
alexnet computer-vision convolutional-neural-networks deep-learning densenet121 fine-tuning-cnns mobilenetv3-large model-training-and-evaluation pytorch resnet101 torch-dataloader vgg16
Language:Jupyter Notebook
SayamAlt / Weather-Image-Recognition-using-CNNs
This project focuses on classifying distinct weather images using Convolutional Neural Networks (CNN) built from scratch and fine-tuning various state-of-the-art (SOTA) pre-trained models like AlexNet, ResNet50, VGG16, and MobileNet v3 Large. The models are trained and evaluated on a custom weather dataset, leveraging PyTorch for deep learning.
alexnet classification computer-vision convolutional-neural-networks deep-learning densenet121 fine-tuning-cnns mobilenetv3-large model-training-and-evaluation multiclass-classification multiclass-image-classification pytorch resnet50 vgg16
Language:Jupyter Notebook