airplanes / README.md
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image-classification

annotations_creators: [] language_creators: [] language: [] license: [] multilinguality: - monolingual pretty_name: airplanes size_categories: [] source_datasets: [] task_categories: - image-classification task_ids: - multi-label-image-classification

Dataset Card for airplanes

Table of Contents

Dataset Description

  • Homepage: [Needs More Information]
  • Repository: [Needs More Information]
  • Paper: [Needs More Information]
  • Leaderboard: [Needs More Information]
  • Point of Contact: [Needs More Information]

Dataset Summary

three classes of airplanes: drone, UAV, and fighter

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

Drone images were taken from:

Wang, Ye, Yueru Chen, Jongmoo Choi, and C-C. Jay Kuo. “Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks.” APSIPA Transactions on Signal and Information Processing 8 (2019).

mcl-drone-dataset