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resnet-152

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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

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

Harness the power of U-Net and advanced interpolation techniques to extract LST, emissivity, and NDVI from satellite images. Transform. raw satellite data into meaningful insights for climate analysis, agriculture, and urban studies

  • Updated Apr 10, 2025
  • Jupyter Notebook

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