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    Airborne Object Tracking Dataset

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    Sold by: Amazon 
    Open data
    |
    Deployed on AWS
    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.

    Overview

    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.

    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.

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    Usage information

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    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
    The training dataset is further split into smaller directories. Each subdirectory contains ImageSets and Images folders. Metadata and ground truth information about image sequences are saved as groundtruth.json (and its tabular representation groundtruth.csv) in ImageSets folders. Information about airborne encounters are saved in valid_encounters_maxRange700_maxGap3_minEncLen30.json and valid_encounters_maxRange700_maxGap3_minEncLen30.csv. The Images folder holds images sampled from one sequence per directory. Images are 2448 pixels wide by 2048 pixels high, encoded as 8-bit grayscale images and saved as PNG files.
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::airborne-obj-detection-challenge-training
    AWS region
    us-east-1
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://airborne-obj-detection-challenge-training/

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    How to cite

    Airborne Object Tracking Dataset was accessed on DATE from https://registry.opendata.aws/airborne-object-tracking .

    License

    Community Data License Agreement – Permissive, Version 1.0 https://cdla.dev/permissive-1-0/ 

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