Dataset · Hugging Face

nobodyPerfecZ/recaptchav2-29k

Name: recaptchav2-29k
Creator: nobodyPerfecZ
License: mit
Keywords: task_categories:image-classification, task_ids:multi-label-image-classification, language_creators:found, language_creators:other, multilinguality:monolingual, source_datasets:original, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:image, library:datasets, library:pandas, library:mlcroissant, library:polars

ReCAPTCHAv2-29k ReCAPTCHAv2-29k is a dataset consisting of images derived from Google's ReCAPTCHA v2 system, which is widely used for online human verification. It contains thousands of ReCAPTCHA images, each paired with corresponding labels indicating the presence of specific objects or features (e.g., bicycle, bus, car). This dataset is intended for educational and research purposes and is particularly suited for tasks such as feature extraction and multi-label image… See the full description on the dataset page: https://huggingface.co/datasets/nobodyPerfecZ/recaptchav2-29k.

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Author / organization	nobodyPerfecZ
License (as declared)	mit
Downloads	313 (as reported by Hugging Face)
Likes	2
Created	17 April 2025
Last updated at source	8 May 2025

computer-visionimage-classificationrecaptchav2

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