Ambassador Cafe
OtherImageObject DetectionRLHF
This project focused on developing and evaluating an AI model capable of answering questions based on images. The model was provided with an image and a corresponding question, requiring it to analyze visual elements and generate accurate responses. The project involved training or testing an existing Visual Question Answering (VQA) model, which integrates computer vision and natural language processing (NLP). Tasks included image preprocessing, model evaluation, and assessing response accuracy. The project aimed to enhance AI’s ability to understand and interpret visual content, improving applications in accessibility, automation, and AI-assisted decision-making.
This project focused on developing and evaluating an AI model capable of answering questions based on images. The model was provided with an image and a corresponding question, requiring it to analyze visual elements and generate accurate responses. The project involved training or testing an existing Visual Question Answering (VQA) model, which integrates computer vision and natural language processing (NLP). Tasks included image preprocessing, model evaluation, and assessing response accuracy. The project aimed to enhance AI’s ability to understand and interpret visual content, improving applications in accessibility, automation, and AI-assisted decision-making.
2024 - 2024