#python #active_learning #annotation_tool #data_labeling #dataset #datasets #machine_learning #natural_language_processing #text_annotation

https://github.com/doccano/doccano

#python #active_learning #annotations #classification #crowdsourcing #data_centric_ai #data_cleaning #data_labeling #data_quality #data_science #data_validation #entity_recognition #exploratory_data_analysis #image_tagging #label_errors #machine_learning #noisy_labels #out_of_distribution_detection #outlier_detection #robust_machine_learning #weak_supervision

https://github.com/cleanlab/cleanlab

#javascript #annotation #annotation_tool #annotations #boundingbox #computer_vision #data_labeling #dataset #datasets #deep_learning #image_annotation #image_classification #image_labeling #image_labelling_tool #label_studio #labeling #labeling_tool #mlops #semantic_segmentation #text_annotation #yolo

Label Studio is a free, open-source tool that helps you label different types of data like images, audio, text, videos, and more. It has a simple and user-friendly interface that makes it easy to prepare or improve your data for machine learning models. You can customize it to fit your needs and export labeled data in various formats. It supports multi-user labeling, multiple projects, and integration with machine learning models for pre-labeling and active learning. You can install it locally using Docker, pip, or other methods, or deploy it in cloud services like Heroku or Google Cloud Platform. This tool streamlines your data labeling process and helps you create more accurate ML models.

https://github.com/HumanSignal/label-studio