EfficientNetV2 reimplement with Pytorch framework
-
Updated
Mar 5, 2024 - Jupyter Notebook
EfficientNetV2 reimplement with Pytorch framework
Train EfficientNetV2 models for Facial Expression Recognition task
Predict Cervical Cancer with Algoritm EfficientNetV2 Tensorflow and Pythorch
BackdropBuild V3 Program
Final submission project in Belajar Pengembangan Machine Learning by Dicoding Academy about Image Classification Facial Emotion With EfficientNetV2-S Tensorflow
Explorative Computer Vision Project using EfficientNet
"DressMeUp" project utilizes fashion images and color combinations to achieve image classification for clothing combinations. Algorithms include SGD (SVM), Passive Aggressive Classifier, ResNet50 CNN, and EfficientNetV2-S CNN with K-Means for color analysis. Achieved accuracy exceeds 90%. Built with Python, Scikit-Learn, TensorFlow, and Streamlit.
Identify the locations of each functional tissue unit (FTU) in biopsy slides from several different organs.
Image classification of superficial fungal infections (dermatomycoses) with CNNs and Transfer Learning (EfficientNetV2)
Este proyecto tiene como objetivo implementar transfer learning utilizando un dataset de aves obtenido de Kaggle. El dataset, disponible en Kaggle BIRDS 525 SPECIES- IMAGE CLASSIFICATION, será utilizado para crear un entregable para la materia de Redes Neuronales Profundas de la Maestría en Ciencia de Datos en la Universidad de Sonora.
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
Paper and conference presentation during the 1st year of MSc Data Science & Artificial intelligence
Image classification convolutional neural network, using TensorFlow with an NVIDIA GPU
EfficientDet in TensorFlow 2.0
Outlier Detection and Deep Learning Classification Project
Experiment with Centroid Re-ID by Changing Backbone Using EfficientNet-V2 and Adding Re-Identification Based Data Augmentation
Pyramid-based structure for head pose estimation
This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt, VGG16, EfficientNetV2, RegNet and MobileNetV3.
This repository contains the code and reports for the course INFR11132 Machine Learning Practical. Overall Mark Achieved - 75%
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
Add a description, image, and links to the efficientnetv2 topic page so that developers can more easily learn about it.
To associate your repository with the efficientnetv2 topic, visit your repo's landing page and select "manage topics."