[go: up one dir, main page]

Skip to content
#

resnet-152

Here are 47 public repositories matching this topic...

This project focuses on detecting diseases in cotton plants using machine learning techniques. Early detection of diseases in cotton plants can help farmers take preventive measures and ensure better crop yields. The project uses a Convolutional Neural Network (CNN) based on ResNet152 architecture for image classification.

  • Updated Sep 20, 2024
  • Jupyter Notebook

This repository hosts all the scripts used in the implementation of bird detection models. We are using Convolutional Neural Networks(CNN)'s Faster R-CNN, Single Shot Detector(SSD), and YOLOv3 meta-architectures while utilizing ResNet-101, MobileNet, Inception ResNet v2 and VGG-16 feature extraction Networks (backbone network).

  • Updated Sep 30, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the resnet-152 topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the resnet-152 topic, visit your repo's landing page and select "manage topics."

Learn more