Image Classification, Image Captioning and LLM inference with LiteRT
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Updated
Oct 11, 2025 - Kotlin
Image Classification, Image Captioning and LLM inference with LiteRT
Fully Connected Neural Networks, Multilayer Neural Networks, MAdaline, CNNs, Segmentation, Detection, RNNs, CNN-LSTM, LSTM, Bi-LSTM, GRU, Transformers, Huber Loss, ViT, DGMs, Triplet VAE, AdvGAN, Image Caption Generation, attention, LLM Fine-Tuning, Soft Prompting, LoRA, Layer Freezing, SlimOrca
Data and code for the paper "Exploiting Image-Text Synergy for Contextual Image Captioning" published at EACL Workshop LANTERN 2021.
This project implements an Image Caption Generator, a deep learning model that automatically generates descriptive captions for images. It combines Convolutional Neural Networks (CNNs) for image feature extraction and Recurrent Neural Networks (LSTMs) for language modeling, trained on image–caption datasets.
Blip 2 Captioning, Mass Captioning, Question Answering, and other tools.
Image Captioning Using CLIP & GPT Models
BLIP-ImageCaption
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