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VLA4CoDrive dataset by sayedpedramhaeri
⭐ 59.9
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Dataset

VLA4CoDrive

by sayedpedramhaeri sayedpedramhaeri/vla4codrive
Free2AITools Nexus Index
59.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 52
R: Recency 90
Q: Quality 50
Tech Context
Vital Performance —
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Data Integrity 59.9 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID sayedpedramhaeri/vla4codrive
License Apache-2.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_sayedpedramhaeri_vla4codrive,
  author = {sayedpedramhaeri},
  title = {VLA4CoDrive Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/sayedpedramhaeri/VLA4CoDrive}},
  note = {Accessed via Free2AITools.}
}
APA Style
sayedpedramhaeri. (2026). VLA4CoDrive [Dataset]. Free2AITools. https://huggingface.co/datasets/sayedpedramhaeri/VLA4CoDrive

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 52
Recency (R) 90
Quality (Q) 50

💬 Index Insight

FNI V2.0 for VLA4CoDrive: Authority (A:62), Popularity (P:52), Recency (R:90), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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35,491

🎯 Task Categories

image-to-text visual-question-answering reinforcement-learning robotics object-detection depth-estimation

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Dataset Specification

Vision–Language–Action Dataset for Cooperative Autonomous Driving

Paper Documentation License GitHub Hugging Face

VLA4CoDrive is a large-scale cooperative Vision–Language–Action (VLA) dataset designed to support autonomous driving under multi-vehicle cooperation. This work has been accepted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026. This dataset was developed at AI-SENDs Lab, Clemson University, USA.

🔍 Overview

We introduce VLA4CoDrive, a cooperative Vision–Language–Action dataset with synchronized multi-vehicle sensing across di

Social Proof

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Source summary: Based on Hugging Face metadata. Not a recommendation.

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Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--sayedpedramhaeri--vla4codrive
slug
sayedpedramhaeri--vla4codrive
source
huggingface
author
sayedpedramhaeri
license
Apache-2.0
tags
task_categories:image-to-text, task_categories:visual-question-answering, task_categories:reinforcement-learning, task_categories:robotics, task_categories:object-detection, task_categories:depth-estimation, language:en, license:apache-2.0, size_categories:1m<n<10m, region:us, autonomous-driving, cooperative-driving, vision-language-action, vla, carla, multi-agent, cooperative-perception, trajectory-prediction, imitation-learning, multimodal, driving-dataset, wacv-2026

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
35,491
stars
null
forks
null

Data indexed from public sources. Updated daily.