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Downloading Sandbox Dataset

To get started quickly with a sandbox dataset, you run the following command.

# within venv
encord-active download

The script will ask you to choose a project, navigate the options with and and hit enter.

When the download process is complete, you visualize the results by following the printed instructions. For more details, see the Open Encord Active page.

If you have a dataset you'd like us to include in the sandbox please submit an issue on Github or contact us directly. We'd love to help!

Sandbox Datasets

Berkeley Deep Drive

About the dataset

  • Research Paper: BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
  • Authors: Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
  • Dataset Size: 1000 images & 12973 annotations
  • Categories: 8 classes
  • License: BSD 3-Clause License
  • Release: 21st September, 2020
  • Read more: Webpage & GitHub

Sample pictures: BDD dataset

COCO Validation 2017 Dataset

About the dataset

Sample pictures: COCO dataset

Covid 19 Segmentation Dataset

About the dataset

  • Research Paper: Unknown
  • Author: Unknown
  • Dataset Size: 100 images & 602 annotations
  • Categories:  13 classes
  • License: CC BY 4.0
  • Release: Unknown
  • Read more: GitHub

Sample pictures: Covid dataset


About the dataset

Sample pictures: Rareplanes dataset

TACO Dataset

About the dataset

Sample pictures: TACO dataset

Limuc Ulcerative Colitis Classification

  • Research Paper: Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning
  • Authors: Gorkem Polat, MSc, Haluk Tarik Kani, MD, Ilkay Ergenc, MD, Yesim Ozen Alahdab, MD, Alptekin Temizel, PhD, Ozlen Atug, MD
  • Dataset Size: 11276 images
  • Categories: Medical (Endoscopy/Colonoscopy)
  • License: Creative Commons Attribution 4.0 International
  • Release: 14th March 2022
  • Read more: Webpage & GitHub