The Flickr30k dataset has become a standard benchmark for sentence-based image description. This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains, linking mentions of the same entities across different captions for the same image, and associating them with 276k manually annotated bounding boxes. Such annotations are essential for continued progress in automatic image description and grounded language understanding. They enable us to define a new benchmark for localization of textual entity mentions in an image. We present a strong baseline for this task that combines an image-text embedding, detectors for common objects, a color classifier, and a bias towards selecting larger objects.

A dataset of 30,000 images with 5 captions per image. The dataset was created by researchers at Stanford University and is used for research in machine learning and natural language processing tasks such as image captioning and visual question answering.

How high is the brand awareness of Flickr in the United States?When it comes to social media users, brand awareness of Flickr is at 44% in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Flickr in the United States?In total, 7% of U.S. social media users say they like Flickr. However, in actuality, among the 44% of U.S. respondents who know Flickr, 16% of people like the brand.What is the usage share of Flickr in the United States?All in all, 5% of social media users in the United States use Flickr. That means, of the 44% who know the brand, 11% use them.How loyal are the users of Flickr?Around 2% of social media users in the United States say they are likely to use Flickr again. Set in relation to the 5% usage share of the brand, this means that 40% of their users show loyalty to the brand.What's the buzz around Flickr in the United States?In March 2022, about 7% of U.S. social media users had heard about Flickr in the media, on social media, or in advertising over the past four weeks. Of the 44% who know the brand, that's 16%, meaning at the time of the survey there's little buzz around Flickr in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

eugenebaek/flickr dataset hosted on Hugging Face and contributed by the HF Datasets community

http://code.flickr.net/2011/01/08/flickr-shapefiles-public-dataset-2-0/

The "continents" file.

Loaded straight to Koordinates from the GeoJSON file.

Flickr image-to-text pair datasets (8k and 30k) each contain five captions per image.

naive-puzzle/flickr dataset hosted on Hugging Face and contributed by the HF Datasets community

Flick is an online, interactive photo database, where users can search for photographs by thematic descriptors and locations through the mapping application. Thematic descriptors include mood/visual keywords, tags, and account names of photographers, collectors, or other viewers who upload photos to the database. Photo data is also accessible to users through a feed (RSS) that yields recent, exportable photo uploads, and an API. With free registration, users can also upload their own photos, create profiles, edit, comment, and participate in forum/group culture for non-commercial use. Commercial use requires a negotiated agreement.

Dataset

This dataset was created by Raghu Dinka Vijaykumar

Contents

This dataset reports the number of photos uploaded to Flickr every day, hour by hour (CET) from 2004 to 2021. Only public photos are considered, private photos as well as other type of material (e.g. videos) are not accounted for.

The count is necessarily a sub-approximation of the real count. Indeed, data acquisition started in 2017, such that photos uploaded earlier and deleted by their users are not included in the total count. We assume that this should happen very rarely, meaning that the vast majority of photos ever posted to Flickr should still be available and therefore included in the reported data.

The data was acquired using the flickr-statistics project. A visualization is available from https://www.flickr.com/photos/franckmichel/49788632377/.

Dataset

This dataset was created by BISHAL NEUPANE 1

Contents

Dataset statistics for Flickr photos.

The Flickr Diverse Humans (FDH) dataset consists of 1.53M images of human figures from the YFCC100M dataset. Each image is annotated with keypoints, pixel-to-vertex correspondences (from CSE ) and a segmentation mask.

Flickr Dog

## Overview

Flickr Dog is a dataset for classification tasks - it contains Dogs annotations for 374 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

View, download and reuse photographs from the collections of the NSW State Records Authority.

How high is the brand awareness of Flickr in the UK?When it comes to social media users, brand awareness of Flickr is at 51% in the UK. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Flickr in the UK?In total, 4% of UK social media users say they like Flickr. However, in actuality, among the 51% of UK respondents who know Flickr, 8% of people like the brand.What is the usage share of Flickr in the UK?All in all, 4% of social media users in the UK use Flickr. That means, of the 51% who know the brand, 8% use them.How loyal are the users of Flickr?Around 2% of social media users in the UK say they are likely to use Flickr again. Set in relation to the 4% usage share of the brand, this means that 50% of their users show loyalty to the brand.What's the buzz around Flickr in the UK?In May 2022, about 4% of UK social media users had heard about Flickr in the media, on social media, or in advertising over the past four weeks. Of the 51% who know the brand, that's 8%, meaning at the time of the survey there's little to no buzz around Flickr in the UK.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

Dataset

This dataset was created by snehasaarla

Contents

A Flickr dataset of Shanghai from 2004-2014 extracted from YFCC 100M, from this dataset, a study on inbound tourists' travel destination image was conducted to compare the perception differences based on different cultures.

Context

A new benchmark collection for sentence-based image description and search, consisting of 8,000 images that are each paired with five different captions which provide clear descriptions of the salient entities and events. … The images were chosen from six different Flickr groups, and tend not to contain any well-known people or locations, but were manually selected to depict a variety of scenes and situations

Content66

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Flickr-Faces-HQ Dataset (FFHQ)

Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN):

A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) https://arxiv.org/abs/1812.04948

The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of… See the full description on the dataset page: https://huggingface.co/datasets/nuwandaa/ffhq128.