Classification of flowers from Oxford Flowers 102 dataset
Transfer learning using a pretrained resnet50 on the oxford flowers 102 dataset (fellowship ai cv challenge)
Generating real life images from textual description using DCGANs
A Tensorlfow deep learning project to recognize different species of flowers
A comparative study of the benefits of transfer learning over building a custom CNN architecture for a very small dataset.
Vision–language classification on the Oxford Flowers dataset using CLIP, exploring zero-shot inference and feature-extraction fine-tuning.
A deep learning notebook focused on classifying flowers from the Oxford Flower Dataset. By leveraging transfer learning with VGG16, DenseNet121, and InceptionV3, Floranet explores techniques like layer freezing and data augmentation to achieve high classification accuracy with minimal error.
A comparative study of the benefits of transfer learning over building a custom CNN architecture for a very small dataset.
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