Classification of automotive parts as defective and non-defective with transfer learning.
-
Updated
May 20, 2024 - Jupyter Notebook
Classification of automotive parts as defective and non-defective with transfer learning.
A tool for classifying an image into a disaster type, utilizing Python
Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.
🍊 🎑 Orange3 add-on for dealing with image related tasks
Trí tuệ nhân tạo, mạng học sâu Inception V3, VGG19, DenseNet 121 và Unet trong việc phát hiện và khoanh vùng nhiễm bệnh Covid 19 từ ảnh chụp phổi
Transfer Learning based Brain Tumor Classification system made on Inception V3 architecture.
Keras model of NSFW detector
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
Simple app that use CoreML and Inceptionv3 model to check is there a pizza in the photo
Human Activity Recognition
CNN Image classifier using InceptionV3 and ResNet for a t-shirt images.
A classifier created to detect PD on patients using fMRI data
Automated pipeline for large scale detection of solar arrays in France
Classify the severity stages of Diabetic Retinopathy
Алгоритмы Data Science и их практическая реализация на Python
InceptB: Traditional Bengali games Data-set.
The goal of the project is to improve a kaggle project about Dog Breed Classification, achieving an higher test accuracy. The original project achieved 79% of accuracy on the test set, while this one goes up to 87%. Also further improvements were made to the data processing pipeline in terms of modularity and performance.
Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures
Signature Classification on ICDAR 2011 Signature Dataset
Agricultural crops image classification is a task in the field of computer vision and machine learning where the goal is to develop models that can accurately identify and classify different types of crops from images.
Add a description, image, and links to the inception-v3 topic page so that developers can more easily learn about it.
To associate your repository with the inception-v3 topic, visit your repo's landing page and select "manage topics."