Overview
This project aims to support visually impaired individuals in their daily navigation.
This project combines the YOLO model and LLaMa 2 7b for the navigation.
YOLO is trained on the bounding box data from the AI Hub,
Output of YOLO (bbox data) is converted as lists like [[class_of_obj_1, xmin, xmax, ymin, ymax, size], [class_of...] ...]
then added to the input of question.
The LLM is trained to navigate using LearnItAnyway/Visual-Navigation-21k multi-turn dataset
Usage
We show how to use the model in yolo_llama_visnav_test.ipynb
- Downloads last month
- 8
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.