X-AnyLabeling and awesome-open-data-annotation
X-AnyLabeling is a data labeling tool, while awesome-open-data-annotation is a curated list of such tools (including potentially X-AnyLabeling), making them ecosystem siblings where one is a specific implementation and the other is a directory.
About X-AnyLabeling
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
This tool helps data professionals quickly and accurately label images and videos for various computer vision tasks. You input raw visual data, and it assists you in marking objects, segments, or text, outputting structured annotations that can be used to train AI models. It's designed for data engineers and researchers who need to prepare large datasets for machine learning applications.
About awesome-open-data-annotation
zenml-io/awesome-open-data-annotation
Open Source Data Annotation & Labeling Tools
This is a curated list of open-source tools for adding labels or annotations to your data, which is crucial for building machine learning models. It helps machine learning engineers and data scientists find the right software to prepare various data types, from images and videos to text and audio, for their AI projects. The output is a choice of suitable tools that help turn raw data into structured, labeled datasets.
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