datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vlmn_tartandrive100_scand50_coda25_spot100_sub5_full_augmentation_processed_10
Trajectory Ranking Dataset
This dataset contains trajectory ranking results for autonomous navigation scenarios.
Dataset Statistics
Total examples: 39558
Chunks processed: 40
Upload date: 2025-09-13T00:44:30.335177
Features
Image data with terrain analysis
Trajectory rankings and reasoning
Quality and diversity analysis
Terrain and trajectory descriptions
SAVANT-CODALM-medium
SAVANT CODALM Medium 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 medium was created by combining automated framework evaluation with human validation. Starting with the full CODA dataset (9,640 images), we used… See the full description on the dataset page: https://huggingface.co/datasets/u94fmn391j/SAVANT-CODALM-medium.SAVANT-CODALM-small
SAVANT CODALM Small 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 small contains 100 real-world driving images (50 anomalous, 50 normal) derived from the CODA corner case dataset. Each image includes manual annotation… See the full description on the dataset page: https://huggingface.co/datasets/u94fmn391j/SAVANT-CODALM-small.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.MM-Food
Overview
This project introduces a comprehensive food image dataset designed for computer vision tasks, particularly food recognition, classification, and nutritional analysis. The dataset aims to provide a reliable resource for researchers and developers to advance food AI applications including smart recipe recommendations, meal management, and health monitoring systems.
Technical Report - MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable… See the full description on the dataset page: https://huggingface.co/datasets/Codatta-dev/MM-Food.