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Glenn Jocher 2023-07-17 12:40:04 +02:00 • committed by GitHub
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docs/yolov5/tutorials/roboflow_datasets_integration.md
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---
comments: true
description: Use Roboflow to organize, label, prepare, version & host datasets for training YOLOv5 models. Upload via UI, API, or Python, making versions with custom preprocessing and offline augmentation. Export in YOLOv5 format and access custom training tutorials. Use active learning to improve model deployments.
keywords: YOLOv5, Roboflow, Dataset, Labeling, Versioning, Darknet, Export, Python, Upload, Active Learning, Preprocessing
description: Learn how to use Roboflow for organizing, labelling, preparing, and hosting your datasets for YOLOv5 models. Enhance your model deployments with our platform.
keywords: Ultralytics, YOLOv5, Roboflow, data organization, data labelling, data preparation, model deployment, active learning, machine learning pipeline
---
# Roboflow Datasets