Cover Image

PlantVillageVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sakib, Syed Nazmus, Haque, Nafiul, Hossain, Mohammad Zabed, Arman, Shifat E.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PhyDrawGen: Physically Grounded Diagram Generation from Natural Language
by: Haque, Nafiul, et al.
Published: (2026)

Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry
by: Sakib, Syed Nazmus, et al.
Published: (2026)

The Surface You Test Is Not the Surface That Breaks
by: Arman, Shifat E, et al.
Published: (2026)

Visual Robustness Benchmark for Visual Question Answering (VQA)
by: Ishmam, Md Farhan, et al.
Published: (2024)

From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
by: Ishmam, Md Farhan, et al.
Published: (2023)

PATHWAYS: Evaluating Investigation and Context Discovery in AI Web Agents
by: Arman, Shifat E., et al.
Published: (2026)

StackOverflowVQA: Stack Overflow Visual Question Answering Dataset
by: Mirzaei, Motahhare, et al.
Published: (2024)

DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
by: Al-Mohannadi, Aisha, et al.
Published: (2026)

Towards Signboard-Oriented Visual Question Answering: ViSignVQA Dataset, Method and Benchmark
by: Nguyen, Hieu Minh, et al.
Published: (2025)

ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
by: Barua, Deeparghya Dutta, et al.
Published: (2024)

A Comprehensive Survey on Visual Question Answering Datasets and Algorithms
by: Kabir, Raihan, et al.
Published: (2024)

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking
by: Ahmed, Rafid, et al.
Published: (2026)

BERT-VQA: Visual Question Answering on Plots
by: Vu, Tai, et al.
Published: (2025)

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
by: Zhang, Xiaoman, et al.
Published: (2023)

ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering
by: Tran, Duong T., et al.
Published: (2025)

RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering
by: Zhang, Chengyi, et al.
Published: (2026)

TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains
by: Kim, Yoonsik, et al.
Published: (2024)

RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System
by: Guan, Runwei, et al.
Published: (2025)

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

CommVQA: Situating Visual Question Answering in Communicative Contexts
by: Naik, Nandita Shankar, et al.
Published: (2024)

VQA$^2$: Visual Question Answering for Video Quality Assessment
by: Jia, Ziheng, et al.
Published: (2024)

SugarcaneShuffleNet: A Very Fast, Lightweight Convolutional Neural Network for Diagnosis of 15 Sugarcane Leaf Diseases
by: Arman, Shifat E., et al.
Published: (2025)

MedXplain-VQA: Multi-Component Explainable Medical Visual Question Answering
by: Nguyen, Hai-Dang, et al.
Published: (2025)

CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding
by: Han, Hongyong, et al.
Published: (2025)

AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
by: Tuong, Nguyen Anh, et al.
Published: (2026)

ViInfographicVQA: A Benchmark for Single and Multi-image Visual Question Answering on Vietnamese Infographics
by: Van-Dinh, Tue-Thu, et al.
Published: (2025)

M$^3$-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
by: Ma, Jiatong, et al.
Published: (2026)

Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
by: Vu, Sinh Trong, et al.
Published: (2025)

SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering
by: Zhang, Yan, et al.
Published: (2025)

ViOCRVQA: Novel Benchmark Dataset and Vision Reader for Visual Question Answering by Understanding Vietnamese Text in Images
by: Pham, Huy Quang, et al.
Published: (2024)

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering
by: Chen, Pingyi, et al.
Published: (2024)

RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering
by: Zi, Xing, et al.
Published: (2025)

Analyzing the Sensitivity of Vision Language Models in Visual Question Answering
by: Shah, Monika, et al.
Published: (2025)

PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
by: He, Runlong, et al.
Published: (2024)

MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
by: Li, Zhifei, et al.
Published: (2026)

Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
by: Wang, Jialou, et al.
Published: (2024)

VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning
by: Nguyen, Dang H., et al.
Published: (2025)

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
by: Butsanets, Léo, et al.
Published: (2025)

MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering
by: Mao, Xianwei, et al.
Published: (2026)

A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering
by: Hossain, Md. Zahid, et al.
Published: (2026)