[Deprecated] while some tutorials work, they are outdated, would really appreciate contributions to update examples to Deep Lake.
Examples for Deep Lake - Dataset Format for AI
A repository showcasing examples of using Deep Lake
- Uploading Dataset Places365
- Notebook on uploading COCO
- Training a model using Pytorch Lightning
- Augmentation using Albumentations
- Run Deep Lake on MinIO (local S3)
- Computer Vision Transformation pipeline on Cifar
| Notebook | Link |
|---|---|
| Getting Started with Deep Lake |  |
| Creating Object Detection Datasets | |
| Creating Complex Detection Datasets | |
| Data Processing Using Parallel Computing | |
| Training an Image Classification Model in PyTorch | |
| Creating Time-Series Datasets | |
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
- AgriTech
- Audio processing
- Autonomous Vehicles & Robotics
- Biomedical and Healthcare ML
- Multimedia: Image enhancement, video enhancement, face detection, sports analytics, or machine learning for AR/VR
- Safety & Security: surveillance machine learning with biometrics, facial recognition, or crowd counting
Getting started guides, examples, tutorials, API reference, and other usage information can be found on our documentation page.