GitHub topics: resnet50-model
SayamAlt/Natural-Scenes-Image-Classification-using-CNNs
Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.
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Vasugi2003/Predictive-Analytics-on-Fishery
A predictive analytics in Fishery using Deep learning techniques. It includes classifying what type of fish it is and also the disease it is affected with.
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RababKaf/Ballet_Floral_Un_Pas_Vers_la_Detection-Delicate_des_Types_de_Fleurs
Cette application utilise l'apprentissage automatique pour reconnaître et classifier les espèces de fleurs à partir d'images, fournissant des informations détaillées pour faciliter l'identification des plantes.
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Divyam6969/Pneumonia-Detection-using-FastAI
This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask
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iremakalp/Plant_Disease_Detection
This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".
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