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Projects in Awesome Lists tagged with multiclass-image-classification

A curated list of projects in awesome lists tagged with multiclass-image-classification .

https://github.com/subhangisati/identification-of-gemstone-using-mobilenetv2-and-transfer-learning

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

artificial-intelligence classification computer-vision convolutional-neural-networks cv2-library data-science deep-learning deep-neural-networks keras-neural-networks keras-tensorflow machine-learning multiclass-image-classification numpy-library pandas-dataframe python scikit-learn seaborn-python tensorflow

Last synced: 05 Mar 2025

https://github.com/sayamalt/flowers-recognition

Successfully trained a deep learning model which can precisely predict the species of flowers based on their images.

computer-vision convolutional-neural-networks deep-learning image-classification image-preprocessing multiclass-image-classification opencv

Last synced: 19 Feb 2025

https://github.com/subhangisati/multi-class-classification-of-bird-species

The Bird Species Classifier is an application built using a Convolutional Neural Network (CNN) to classify images of birds into one of 525 different species. It allows users to upload an image of a bird and receive a prediction of the bird species. Along with analysing the performance of various optimising algorithms.

cnn-classification cnn-keras computer-vision multiclass-image-classification optimizer-algorithms

Last synced: 21 Feb 2025

https://github.com/jyotsnayall/sign-language-detection

Convolutional Neural Network(CNN) using Python and Keras to classify American Sign Language (ASL) alphabet hand signs.

deep-learning image-classification multiclass-classification multiclass-image-classification neural-networks

Last synced: 12 Mar 2025

https://github.com/shihjen/cnn_ocular_disorders

A deep learning-based classification system achieving 94% accuracy in distinguishing between diabetic retinopathy, glaucoma, and cataracts from normal eye images using fundus photography.

cnn multiclass-image-classification tensorflow-keras transfer-learning

Last synced: 05 Apr 2025

https://github.com/shihjen/cnn_ocular_disorders_oct

A deep learning project focuses on classifying ocular disorders using Optical Coherence Tomography (OCT) images. By leveraging the EfficientNetV2 architecture, the project develops models that effectively identify various ocular conditions, achieving accuracies exceeding 90%.

cnn efficientnetv2 multiclass-image-classification tensorflow-keras transfer-learning

Last synced: 11 Jun 2025

https://github.com/jotstolu/multiclass-image-classification-rice-leaf-disease-dataset

The focus of this project is to develop and evaluate six distinct machine learning models for multi-class classification of Rice Leaf Diseases images. This multi-class classification task involves 1)Image Preparation and Pre-processing 2)Feature Extraction 3)Model Training and hyperparameter tuning 4)Model Evaluation and Analysis

deep-learning hyperparameter-tuning image-classification machine-learning multiclass-image-classification

Last synced: 21 Mar 2025

https://github.com/wittyicon29/appleai--apple-disease-detection-using-cnn

Apple disease detection using CNN is a GitHub repository that contains code for detecting diseases in apples using convolutional neural networks (CNNs). The repository uses a dataset of images of healthy and diseased apples to train the CNN model. The model is then used to classify new images of apples as healthy or diseased

cnn-classification deep-learning image-augmentation keras multiclass-image-classification tensorflow

Last synced: 15 Mar 2025

https://github.com/sayamalt/fruits-and-vegetables-image-recognition

Successfully established a deep learning model which can accurately detect and recognize the images of a wide variety of fruits and vegetables.

computer-vision convolutional-neural-networks image-processing multiclass-image-classification opencv

Last synced: 04 Jul 2025