Image Search Using Embeddings Extracted from VAE
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Updated
Mar 25, 2021 - Python
Image Search Using Embeddings Extracted from VAE
A deep learning project for classifying 130+ fruits using EfficientNet, ResNet, and MobileNet with custom augmentations and SE blocks. Built on the Fruits-360 dataset.
CNN-based fruit image classification using TensorFlow on the Fruits-360 dataset. Includes controlled experiments, regularization, feature maps, augmentation, and EfficientNetB0 comparison.
A deep learning project classifying fruits and vegetables using custom CNN architectures across two dataset configurations: 131 classes and 81 classes.
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