8,000 photos and up to 5 captions for each photo. We introduce 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 ## Citation Hodosh, Micah, Peter Young, and Julia Hockenmaier. "Framing image description as a ranking task: Data, models and evaluation metrics." Journal of Artificial Intelligence Research 47 (2013): 853-899.

This dataset consists of images, captions and a pickle file which contains the features of images extracted by VGG-16. This dataset was not made by me. I have used this dataset for a joint embeddings project.

Image dataset from flickr website. Contains a total of 8091 images with corresponding captions. Mainly used for image caption generation.

Tasks supported:

1. Image Feature Extraction
2. Image caption generation

Description: The wavs/ directory contains 40,000 spoken audio captions in .wav audio format, one for each caption included in the train, dev, and test splits in the original Flickr 8k corpus (as defined by the files Flickr_8k.trainImages.txt, Flickr_8k.devImages.txt, and Flickr_8k.testImages.txt)

The audio is sampled at 16000 Hz with 16-bit depth, and stored in Microsoft WAVE audio format

The file wav2capt.txt contains a mapping from the .wav file names to the corresponding .jpg images and the caption number. The .jpg file names and caption numbers can then be mapped to the caption text via the Flickr8k.token.txt file from the original Flickr 8k corpus.

The file wav2spk.txt contains a mapping from the .wav file names to its speaker. Each unique speaker is numbered consecutively from 1 to 183 (the total number of unique speakers).

Citing:

D. Harwath and J. Glass, "Deep Multimodal Semantic Embeddings for Speech and Images," 2015 IEEE Automatic Speech Recognition and Understanding Workshop, pp. 237-244, Scottsdale, Arizona, USA, December 2015 (PDF)

M. Hodosh, P. Young and J. Hockenmaier (2013) "Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics", Journal of Artificial Intelligence Research, Volume 47, pages 853-899 https://www.jair.org/index.php/jair/article/view/10833/25854

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

Explore the Flickr 8k Image Dataset, featuring 8,092 images with descriptive captions, perfect for machine learning beginners.

Dataset

This dataset was created by Venkata Hemanth Gubbala

Released under Other (specified in description)

Contents

To produce the denotation graph, we have created an image caption corpus consisting of 158,915 crowd-sourced captions describing 31,783 images. This is an extension of our previous Flickr 8k Dataset. The new images and captions focus on people involved in everyday activities and events.Use of the images must abide by the Flickr Terms of Use. We do not own the copyright of the images.