Open-source web app for managing and annotating datasets
The author has created a web app to help design and manage datasets for training and tuning machine learning models. It allows users to navigate through datasets, view and edit images and text descriptions, and use AI models to add descriptions to entire datasets.
Why it matters
This tool can streamline the dataset management and annotation process, which is a critical step in developing and improving machine learning models.
Key Points
- 1Web app for managing and annotating datasets
- 2Supports viewing and editing images and text descriptions
- 3Integrates with AI models like OpenRouter, Gemini, and Ollama to add descriptions
- 4Can handle large datasets with thousands of images
Details
The author has developed a web-based application to help with the management and annotation of datasets for machine learning model training and tuning. The app allows users to easily navigate through datasets, view and edit the images and corresponding text description files. It also integrates with AI models like OpenRouter, Gemini, and Ollama, enabling users to automatically add text descriptions to entire datasets of images. The app can handle large datasets, with the author testing it on a dataset of over 9,700 images. The app can be accessed directly through the web or downloaded and run locally on the user's computer.
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