Events2Join

Datasets built on top of VQA


Datasets built on top of VQA - VQA: Visual Question Answering

The VQA-HAT dataset consists of ~60k attention annotations from humans of where they choose to look while answering questions about images, collected via a game ...

131 dataset results for Visual Question Answering (VQA)

Visual Dialog (VisDial) dataset contains human annotated questions based on images of MS COCO dataset. This dataset was developed by pairing two subjects on ...

94 dataset results for Visual Question Answering (VQA) AND Images

Visual Dialog (VisDial) dataset contains human annotated questions based on images of MS COCO dataset. This dataset was developed by pairing two subjects on ...

Exploring Visual Question Answering (VQA) Datasets - Comet.ml

VQA v2.0, or Visual Question Answering version 2.0, is a significant benchmark dataset in computer vision and natural language processing. An ...

Top 10 Multimodal Datasets - Encord

The Visual Genome dataset is a multimodal dataset, bridging the gap between image content and textual descriptions. It offers a rich resource ...

Visual Question Answering Dataset - Google

Data from: Remote Sensing VQA - Low Resolution (RSVQA LR). data.niaid.nih.gov; explore.openaire.eu. Updated Mar 10, 2022.

DAQUAR Dataset (Processed) for VQA - Kaggle

It contains 6794 training and 5674 test question-answer pairs, based on images from the NYU-Depth V2 Dataset. That means about 9 pairs per image on average.

Visual Question Answering - VizWiz

For this purpose, we introduce the visual question answering (VQA) dataset coming from this population, which we call VizWiz-VQA. It originates from a natural ...

Visual Question Answering: Datasets, Algorithms, and Future ... - ar5iv

In VQA, an algorithm needs to answer text-based questions about images. Since the release of the first VQA dataset in 2014, additional datasets have been ...

Visual Question Answering - Transformers - Hugging Face

For the VQA task, a classifier head is placed on top (a linear layer on ... >>> from datasets import load_dataset >>> dataset = load_dataset("Graphcore/vqa ...

OK-VQA: A Visual Question Answering Benchmark Requiring ...

Our analysis shows that our knowledge-based VQA task is diverse, difficult, and large compared to previous knowledge-based VQA datasets. We hope that this ...

Introduction to Visual Question Answering: Datasets, Approaches ...

Compared to other datasets, the VQA dataset is relatively larger. In addition to 204,721 images from the COCO dataset, it includes 50,000 ...

DocVQA: A Dataset for VQA on Document Images - CVF Open Access

Statistics for other datasets are computed based on their publicly available data splits. ... The top 15 answers in the dataset are shown in Figure 4b. We ...

A dataset of clinically generated visual questions and answers about ...

We introduce VQA-RAD, the first manually constructed dataset where clinicians asked naturally occurring questions about radiology images and provided reference ...

Characteristics of the publicly available VQA datasets - ResearchGate

Table 10 shows a comparison between all Arabic-VQA models built on top of the VAQA dataset, in terms of the achieved testing performance. The first column ...

A Survey on VQA: Datasets and Approaches - arXiv

Relation-VQA is built on Visual Genome [21] dataset. It includes 335,000 ... Anderson et al., “Bottom-Up and Top-Down Attention for Image. Captioning and Visual ...

VQA: Visual Question Answering

VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to ...

Visual Question Answering Dataset for Bilingual Image Understanding

The DAQUAR (Malinowski and Fritz, 2014) dataset was built on top of the NYU-Depth V2 dataset ... 2.2 Attention-Based Methods for VQA. Previous studies have ...

Visual Question Answering: Datasets, Methods, Challenges and ...

the visual question answering task. This dataset, which is called DAQUAR, is based on real-world images, and is built on top of the NYU-Depth V2 dataset. It ...

What is Visual Question Answering (VQA)? - Roboflow Blog

Like many task types in natural language processing and computer vision, there are several open VQA datasets you can use in training and ...