Baselight

220k-GPT4Vision Image Captions

220k-GPT4Vision Image Captions

@kaggle.thedevastator_220k_gpt4vision_image_captions

About this Dataset

220k-GPT4Vision Image Captions


220k-GPT4Vision Image Captions

220k-GPT4Vision Image Captions

By laion (From Huggingface) [source]


About this dataset

The dataset titled laion/220k-GPT4Vision-captions-from-LIVIS is a comprehensive collection of image captions specifically curated to support the capabilities of GPT-4 Vision. This dataset aims to provide detailed and factual descriptions for a vast array of images, empowering users with a better understanding of the visual content they encounter. With an extensive volume of data comprising image URLs and corresponding captions, this dataset serves as a valuable resource for training GPT-4 Vision in accurately describing diverse visual content. By utilizing this dataset, developers, researchers, and enthusiasts can enhance their models' ability to generate accurate and informative captions for images. This high-quality caption dataset has been thoughtfully designed to cater specifically to the training needs of GPT-4 Vision, enabling it to analyze and describe images with improved precision and contextuality

Research Ideas

  • Image Captioning: This dataset can be used for developing and training models that automatically generate detailed and factual captions for a given image. It can be used to enhance the accessibility of visual content.
  • Visual Content Analysis: By analyzing the captions provided in this dataset, researchers and developers can gain insights into the visual features, objects, actions, and scenes depicted in images. This can be valuable for tasks such as object recognition, scene understanding, and image classification.
  • Cross-Modal Retrieval: The dataset can be utilized for cross-modal retrieval tasks where the goal is to retrieve relevant images based on a given query text or vice versa. By associating textual descriptions with corresponding images, it becomes possible to build more effective retrieval systems that bridge the gap between different modalities (text and image)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name Description
url This column contains the URLs of the images for which captions are provided. Each URL points to an actual image that can be accessed online.

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit laion (From Huggingface).

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