visual-layer/fastdup
An open-source tool for analyzing image and video datasets to detect duplicates, similarities, and outliers using deep learning.
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Fastdup is a dataset curation tool that uses deep learning to analyze large image and video collections at scale. It identifies duplicate images, visually similar content, and outliers to help improve data quality for machine learning pipelines. The tool integrates into data preparation workflows to reduce costs and enhance label quality.
Frequently asked
- What is visual-layer/fastdup?
- An open-source tool for analyzing image and video datasets to detect duplicates, similarities, and outliers using deep learning.
- Is fastdup open source?
- Yes — visual-layer/fastdup is an open-source project tracked on heatdrop.
- What language is fastdup written in?
- visual-layer/fastdup is primarily written in Python.
- How popular is fastdup?
- visual-layer/fastdup has 1.9k stars on GitHub.
- Where can I find fastdup?
- visual-layer/fastdup is on GitHub at https://github.com/visual-layer/fastdup.