u94fmn391j/SAVANT-CODALM-large
SAVANT CODALM Large Dataset This dataset is part of the SAVANT framework described in the SAVANT paper, currently under peer review. This repository is provided for peer-review purposes only. After the review process, the dataset will be made publicly available through the authors' main account. Dataset Description CODALM large is the complete 9,640-image dataset, fully labeled using the SAVANT framework with the best-performing VLM. This represents the largest… See the full description on the dataset page: https://huggingface.co/datasets/u94fmn391j/SAVANT-CODALM-large.
SAVANT CODALM Large Dataset
This dataset is part of the SAVANT framework described in the SAVANT paper, currently under peer review.
This repository is provided for peer-review purposes only. After the review process, the dataset will be made publicly available through the authors' main account.
Dataset Description
CODALM large is the complete 9,640-image dataset, fully labeled using the SAVANT framework with the best-performing VLM. This represents the largest semantically-annotated dataset for anomaly detection in autonomous driving, and demonstrates the framework's capability as a scalable data annotation engine.
Dataset Structure
- Features:
image: Front-camera driving scene imagedescription: Textual scene descriptionclassification: Binary anomaly labelimage_name: Image filename
Limitations
- Derived from the CODA dataset; domain-specific to driving scenes
- Annotations generated automatically by the SAVANT framework
