A new benchmark for Icon Question Answering (IconQA) and a large-scale icon dataset Icon645.

Related tags

Deep LearningIconQA
Overview

IconQA

License: CC BY-SA 4.0

About

IconQA is a new diverse abstract visual question answering dataset that highlights the importance of abstract diagram understanding and comprehensive cognitive reasoning in real-world problems.

iconqa examples

There are three different sub-tasks in IconQA:

  • 57,672 image choice MC questions
  • 31,578 text chioce MC questions
  • 18,189 fill-in-the-blank questions
Sub-Tasks Train Validation Test Total
Multi-image-choice 34,603 11,535 11,535 57,672
Multi-text-choice 18,946 6,316 6,316 31,578
Filling-in-the-blank 10,913 3,638 3,638 18,189

In addition to IconQA, we also present Icon645, a large-scale dataset of icons that cover a wide range of objects:

  • 645,687 colored icons
  • 377 different icon classes

icon_examples

For more details, you can find our website here and our paper here.

Download

Our dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Please read the license before you use, change, or share our dataset.

You can download IconQA here. Or run the commands by:

cd data
wget https://iconqa2021.s3.us-west-1.amazonaws.com/iconqa.zip
unzip iconqa.zip

You can download Icon645 here. Or run the commands by:

cd data
wget https://iconqa2021.s3.us-west-1.amazonaws.com/icon645.zip
unzip icon645.zip

File structures for the IconQA dataset:

IconQA
|   LICENSE.md
|   metadata.json
|   pid2skills.json
|   pid_splits.json
|   problems.json
|   skills.json
└───test
│   │
│   └───choose_img
│   |   |
│   |   └───question_id
│   |   |   |   image.png
|   |   |   |   data.json
|   |   |   |   choice_0.png
|   |   |   |   choice_1.png
|   |   |   |   ...
|   |   |
|   |   └───question_id
|   |   |   ...
|   |   
|   └───choose_txt
|   |   |  
|   |   └───question_id
|   |   |   |   image.png
|   |   |   |   data.json
|   |   | 
|   |   └───question_id
|   |   |   ...
|   |
|   └───fill_in_blank
|       |  
|       └───question_id
|       |   |   image.png
|       |   |   data.json
|       | 
|       └───question_id
|       |   ...
|   
└───train
|   |   same as test
|   
└───val
    |   same as test

File structures for the Icon645 dataset:

Icon645
|   LICENCE.md
|   metadata.json
└───colored_icons_final
    |
    └───acorn
    |   |   image_id1.png
    |   |   image_id2.png
    |   |   ...
    |   
    └───airplane
    |   |   image_id3.png
    |   |   ...
    |      
    |   ...

Citation

If the paper or the dataset inspires you, please cite us:

@inproceedings{lu2021iconqa,
  title = {IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning},
  author = {Lu, Pan and Qiu, Liang and Chen, Jiaqi and Xia, Tony and Zhao, Yizhou and Zhang, Wei and Yu, Zhou and Liang, Xiaodan and Zhu, Song-Chun},
  booktitle = {Submitted to the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks},
  year = {2021}
}

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

CC BY-NC-SA 4.0

Owner
Pan Lu
Computer Science
Pan Lu
GitHub Repository
It's like Shape Editor in Maya but works with skeletons (transforms).

Skeleposer What is Skeleposer? Briefly, it's like Shape Editor in Maya, but works with transforms and joints. It can be used to make complex facial ri

Alexander Zagoruyko 1 Nov 11, 2022
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation

Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation [Arxiv] [Video] Evaluation code for Unrestricted Facial Geometry Reconstr

Matan Sela 242 Dec 30, 2022
Multi-objective constrained optimization for energy applications via tree ensembles

Multi-objective constrained optimization for energy applications via tree ensembles

C⚙G - Imperial College London 1 Nov 19, 2021
AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation

AirPose AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation Check the teaser video This repository contains the code of A

Robot Perception Group 41 Dec 05, 2022
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

SG-GAN TensorFlow implementation of SG-GAN. Prerequisites TensorFlow (implemented in v1.3) numpy scipy pillow Getting Started Train Prepare dataset. W

lplcor 61 Jun 07, 2022
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

2 Jul 19, 2022
Classifying audio using Wavelet transform and deep learning

Audio Classification using Wavelet Transform and Deep Learning A step-by-step tutorial to classify audio signals using continuous wavelet transform (C

Aditya Dutt 17 Nov 29, 2022
A large-image collection explorer and fast classification tool

IMAX: Interactive Multi-image Analysis eXplorer This is an interactive tool for visualize and classify multiple images at a time. It written in Python

Matias Carrasco Kind 23 Dec 16, 2022
Make differentially private training of transformers easy for everyone

private-transformers This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers. What is this? Why

Xuechen Li 73 Dec 28, 2022
Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

EMOCA: Emotion Driven Monocular Face Capture and Animation Radek Daněček · Michael J. Black · Timo Bolkart CVPR 2022 This repository is the official i

Radek Daněček 339 Dec 30, 2022
[CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

wseg Overview The Pytorch implementation of Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast. [arXiv] Though image-level weakly

Ye Du 96 Dec 30, 2022
Pipeline code for Sequential-GAM(Genome Architecture Mapping).

Sequential-GAM Pipeline code for Sequential-GAM(Genome Architecture Mapping). mapping whole_preprocess.sh include the whole processing of mapping. usa

3 Nov 03, 2022
DeepFashion2 is a comprehensive fashion dataset.

DeepFashion2 Dataset DeepFashion2 is a comprehensive fashion dataset. It contains 491K diverse images of 13 popular clothing categories from both comm

switchnorm 1.8k Jan 07, 2023
Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation (RA-L/ICRA 2020)

Aerial Depth Completion This work is described in the letter "Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation", by Lucas

ETHZ V4RL 70 Dec 22, 2022
Implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

SinGAN This is an unofficial implementation of SinGAN from someone who's been sitting right next to SinGAN's creator for almost five years. Please ref

35 Nov 10, 2022
Utilities to bridge Canvas-generated course rosters with GitLab's API.

gitlab-canvas-utils A collection of scripts originally written for CSE 13S. Oversees everything from GitLab course group creation, student repository

Eugene Chou 5 Jun 08, 2022
This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

XL-Sum This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Lang

190 Jan 03, 2023
Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model

Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model. Designed sample dashboard with insights and recommendation for

Yash 2 Apr 07, 2022
A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud.

Lidar with Velocity A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud. related paper: Lidar with Velocity : Motion

ISEE Research Group 164 Dec 30, 2022
Pytorch port of Google Research's LEAF Audio paper

leaf-audio-pytorch Pytorch port of Google Research's LEAF Audio paper published at ICLR 2021. This port is not completely finished, but the Leaf() fro

Dennis Fedorishin 80 Oct 31, 2022