resnet-9

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Mahaning / ML_Plant_Clasification_Using_Leaf

Developed a Plant Species Identification system using Flask and the ResNet9 model. This tool accurately identifies plant species from images, making it indispensable for botany enthusiasts. Key skills involved include Convolutional Neural Networks (CNN), HTML, CSS, and Python.

css python html flask machine-learning jupyter-notebook cnn plant-identification colab-notebook plant-classification leaf-clasification plant-dataset plant-disease-detection resnet-9

Updated Dec 24, 2023
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afarturc / pest_detection_ml

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Comparison of ResNet and EfficientNet CNN Models for Plant Disease and Pest Detection

python machine-learning neural-network pytorch supervised-learning resnet-50 resnet-18 resnet-34 jupiter-notebook efficientnet resnet-9

Updated Jul 29, 2023
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Tanuj-tj / Flowers_Recognition_Project

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This was a simple deep learning image classification project. The dataset was taken from Kaggle and trained using the ResNet 9 model (Build from Scratch) and ResNet 34 model (using Transfer Learning).

deep-learning kaggle jupyer-notebook resnet-34 resnet-9

Updated Jan 17, 2021
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