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README.md
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image-classification
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---
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annotations_creators: []
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language_creators: []
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language: []
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license: []
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multilinguality:
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- monolingual
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pretty_name: airplanes
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size_categories: []
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source_datasets: []
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task_categories:
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- image-classification
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task_ids:
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- multi-label-image-classification
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---
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# Dataset Card for airplanes
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** [Needs More Information]
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- **Repository:** [Needs More Information]
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- **Paper:** [Needs More Information]
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
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three classes of airplanes: drone, UAV, and fighter
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### Supported Tasks and Leaderboards
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[Needs More Information]
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### Languages
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[Needs More Information]
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## Dataset Structure
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### Data Instances
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[Needs More Information]
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### Data Fields
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[Needs More Information]
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### Data Splits
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[Needs More Information]
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## Dataset Creation
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### Curation Rationale
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[Needs More Information]
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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[Needs More Information]
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### Licensing Information
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[Needs More Information]
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### Citation Information
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Drone images were taken from:
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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).
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[mcl-drone-dataset](https://mcl.usc.edu/mcl-drone-dataset/)
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data/train-00002-of-00003.parquet
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version https://git-lfs.github.com/spec/v1
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size 294778103
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dataset_infos.json
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{"johnnydevriese--airplanes": {"description": "", "citation": "", "homepage": "", "license": "", "features": {"image": {"decode": true, "id": null, "_type": "Image"}, "label": {"num_classes": 3, "names": ["drone", "fighter", "uav"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "image-classification", "image_column": "image", "label_column": "label"}], "builder_name": "image_folder", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1307386512.022, "num_examples": 6669, "dataset_name": "airplanes"}}, "download_checksums": null, "download_size": 1190448457, "post_processing_size": null, "dataset_size": 1307386512.022, "size_in_bytes": 2497834969.0220003}}
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data/train-00000-of-00003.parquet → johnnydevriese--airplanes/parquet-train-00000-of-00002.parquet
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size
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size 887676701
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data/train-00001-of-00003.parquet → johnnydevriese--airplanes/parquet-train-00001-of-00002.parquet
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version https://git-lfs.github.com/spec/v1
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