Annotation-tool Libraries

8 Components & Libraries

Sortby

Annotation-tool Libraries

Open source annotation tool for machine learning practitioners.

doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling, and sequence to sequence tasks. You can create labeled data for …

✨ Argilla: Open-source platform to build better language models through human feedback

Argilla Client: a powerful Python library for reading and writing data into Argilla, using all the libraries you love (transformers, spaCy, datasets, and any other). Argilla Server and UI: the API an…

✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP

Why Rubrix? Interactive weak supervision. Building a news classifier with user search queries: Getting started with Rubrix is as easy as: Then simply run: After a few iterations of data annotation, w…

Open source audio annotation tool for humans

audino is an open source audio annotation tool. It provides features such as transcription and labeling which enables annotation for Voice Activity Detection (VAD), Diarization, Speaker Identificatio…

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. It can translate bounding box annotations between different formats. (For exa…

Simplest and fastest image and text annotation tool.

Install the Kili client with pip: Instantiate the Kili client: Here is a sample of the operations you can do with the Kili client:

:rabbit: Python lib for remo - the app for annotations and images management in Computer Vision

Remo is a web-based application to organize, annotate and visualize Computer Vision datasets. Remo runs on Windows, Linux, Mac or directly in Google Colab Notebooks. It can also be served on a privat…

OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

The SDK allows you to retrieve visual and text features to build your own document models. Konfuzio Server serves as an UI to define the data structure, manage training/test data and to deploy your m…

Related tags