Label data for machine learning models
Search for tagged characters in Animagine datasets
Analyze data to generate a comprehensive profile report
Display color charts and diagrams
Browse and compare Indic language LLMs on a leaderboard
Browse and filter AI model evaluation results
Analyze and visualize Hugging Face model download stats
Parse bilibili bvid to aid / cid
Form for reporting the energy consumption of AI models.
This is AI app that help to chat with your CSV & Excel.
Finance chatbot using vectara-agentic
Browse and submit evaluation results for AI benchmarks
Explore and submit NER models
Mikeyandfriends-PixelWave FLUX.1-dev 03 is a data visualization tool designed to assist in labeling data for machine learning models. It provides an intuitive interface to help users organize, visualize, and annotate datasets, making it easier to prepare data for training machine learning models. This development version (03) includes experimental features aimed at improving efficiency and user experience.
Example: For a dataset of images, you can visualize the images, add labels, and export the labeled dataset for training a computer vision model.
What datasets is Mikeyandfriends-PixelWave FLUX.1-dev 03 compatible with?
The tool supports a wide range of datasets, including images, text, and numerical data. It is particularly optimized for image-based datasets.
Can I customize the labeling tools?
Yes, customizable labeling tools are available, allowing you to create workflows tailored to your specific dataset or project requirements.
What file formats does the tool support for exporting labeled data?
Mikeyandfriends-PixelWave FLUX.1-dev 03 supports common formats such as CSV, JSON, and COCO for seamless integration with machine learning pipelines.