Flower retrieval with streamlit
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Updated
Apr 18, 2020 - Python
Flower retrieval with streamlit
Final assignment in the NLP course at the Technion (IEM097215). In this assignment we propose a novel architecture to handle both Text-to-Image translation and Image-to-Text translation tasks on paired data, using a unified architecture of transformers and CNNs and enforcing cycle consistency.
Floral Classifier using Discriminative Feature Learning
Image Classification Training Framework for Network Distillation
Spectrally Normalized GAN trained on Flowers102 dataset
Few-shot Learning for Fine-grained Flower Classification with Prototypical Networks
FellowshipAi project
Utilizing transfer learning to build a model that can classify 102 different flower species
Created a CNN from scratch for the Flowers-102
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