Waste Classification with Transfer Learning
A computer-vision project (IBM Deep Learning with Keras & TensorFlow capstone) that classifies waste images into Recyclable and Organic categories using transfer learning with VGG16. Demonstrates an end-to-end deep-learning workflow — image preprocessing with ImageDataGenerator, feature-extraction training, fine-tuning, and evaluation — simulating a real-world smart waste-sorting system.
Technologies
Python, TensorFlow, Keras, VGG16, Transfer Learning, Computer Vision
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