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classification-internal

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🐳 EuroSAT🐊 Satellite 🐲 Image 🪲 Land 🎳 Use 🌳 Classification 🐸 is a 🪆 computer 🐧vision 🦫 that 🦧 leverages 🦊 Deep 🐯 Learning 🍊and CNN 🥯 architectures 🍏 to classify 🥭 satellite 🍔 images 🧅into ✈ different 🚞 land use 🚒 land cover 🕌 categories 🚁 Built 🎮 on the 🛼 EuroSAT 🛬 dataset ⚾ this 🛸showcases ⚽ environmental 🏀monitoring 🏈

  • Updated Oct 3, 2025
Summer-Training-AI-ML-

Summer training programs are specialized educational or professional development courses conducted during the summer break. They are designed to provide participants, typically students or early-career professionals, with practical experience and skills in specific fields. 😎🥰🚅🚄

  • Updated Aug 6, 2024
  • Jupyter Notebook

Object Detection with CNN (Using YOLOv3)" teaches the implementation of YOLOv3 for real-time object detection. Learn CNN fundamentals, YOLO architecture, and practical techniques for training models to identify objects in images and videos efficiently. Ideal for advancing skills in computer vision and deep learning.

  • Updated Jul 4, 2024

Machine Learning-based Fruit Freshness Detection using handcrafted image features with Random Forest, Decision Tree, and Logistic Regression. Includes model comparison, confusion matrices, best model selection, and Streamlit deployment.

  • Updated Jul 31, 2026
  • Python

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