NSFW Data Scraper is an open-source project that provides scripts for automatically collecting large datasets of images intended for training NSFW image classification systems. The repository focuses on aggregating image data from various online sources so that developers can build datasets suitable for training content moderation models. These datasets typically contain images categorized into different classes associated with adult or explicit content, which can then be used to train neural networks that detect unsafe or inappropriate material. The scripts automate the process of downloading and organizing large volumes of images, significantly reducing the manual effort required to build training datasets. The project was originally created to support research and development of machine learning models capable of identifying explicit or sensitive visual content.
Features
- Automated scripts for collecting large image datasets
- Dataset generation for training NSFW classification models
- Support for aggregating images from multiple online sources
- Tools for organizing datasets into machine learning categories
- Scripts written primarily in shell and notebook environments
- Designed for research in content moderation systems