amazon-bin-imagery.yaml

Name: Amazon Bin Image Dataset
Description: The Amazon Bin Image Dataset contains over 500,000 images and metadata from bins of a pod in an operating Amazon Fulfillment Center. The bin images in this dataset are captured as robot units carry pods as part of normal Amazon Fulfillment Center operations.
Documentation: https://github.com/awslabs/open-data-docs/tree/main/docs/aft-vbi-pds
Contact: amazon-bin-images@amazon.com
ManagedBy: "[Amazon](https://www.amazon.com/)"
UpdateFrequency: Not updated
Tags:
  - amazon.science
  - computer vision
  - machine learning
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US) https://creativecommons.org/licenses/by-nc-sa/3.0/us/
Resources:
  - Description: Over 500,000 bin JPEG images and corresponding JSON metadata files describing items in bins in Amazon Fulfillment Centers.
    ARN: arn:aws:s3:::aft-vbi-pds
    Region: us-east-1
    Type: S3 Bucket
    Explore:
    - '[Browse Bucket](https://aft-vbi-pds.s3.amazonaws.com/index.html)'
DataAtWork:
  Tutorials:
  Tools & Applications:
  Publications:
    - Title: Amazon Bin Image Dataset Challenge
      URL: https://github.com/silverbottlep/abid_challenge
      AuthorName: silverbottlep
      AuthorURL: https://github.com/silverbottlep
    - Title: Amazon Inventory Reconciliation using AI
      URL: https://github.com/OneNow/AI-Inventory-Reconciliation
      AuthorName: Pablo Rodriguez Bertorello, Sravan Sripada, Nutchapol Dendumrongsup
      AuthorURL: https://github.com/pablo-tech