
Sold by: Amazon
Open data
|
Deployed on AWS
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.
Overview
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.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Over 500,000 bin JPEG images and corresponding JSON metadata files describing items in bins in Amazon Fulfillment Centers.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::aft-vbi-pds
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://aft-vbi-pds/
Resources
Vendor resources
Support
Contact
Managed By
How to cite
Amazon Bin Image Dataset was accessed on DATE from https://registry.opendata.aws/amazon-bin-imagery .
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/
Similar products

Amazon Berkeley Objects (ABO) is a collection of 147,702 product listings with multilingual metadata and 398,212 unique catalog images. 8,222 listings come with turntable photography (also referred as "spin" or "360º-View" images), as sequences of 24 or 72 images, for a total of 586,584 images in 8,209 unique sequences. For 7,953 products, the collection also provides high-quality 3d models, as glTF 2.0 files.

The Product Comparison dataset for online shopping is a new, manually annotated dataset with about 15K human generated sentences, which compare related products based on one or more of their attributes (the first such data we know of for product comparison). It covers ∼8K product sets, their selected attributes, and comparison texts.

Airborne Object Tracking (AOT) is a collection of 4,943 flight sequences of around 120 seconds each, collected at 10 Hz in diverse conditions. There are 5.9M+ images and 3.3M+ 2D annotations of airborne objects in the sequences. There are 3,306,350 frames without labels as they contain no airborne objects. For images with labels, there are on average 1.3 labels per image. All airborne objects in the dataset are labelled.

The first large public body measurement dataset including 8978 frontal and lateral
silhouettes for 2505 real subjects, paired with height, weight and 14 body
measurements. The following artifacts are made available for each subject.
Subject Height
Subject Weight
Subject Gender
Two black-and-white silhouette images of subject standing in frontal and side pose
respectively with full body in view.
14 body measurements in cm - {ankle girth, arm-length, bicep girth, calf girth,
chest girth, forearm girth, height, hip girth, leg-length,
shoulder-breadth, shoulder-to-crotch length, thigh girth,
waist girth, wrist girth}
The data is split into 3 sets - Training, Test Set A, Test Set B. For the training and
Test-A sets, subjects are photographed and 3D-scanned by in a lab by technicians. For
the Test-B set, subjects are scanned in the lab, but photographed in a less-contro[...]