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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': octane |
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'1': aftershock |
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'2': werewolf |
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'3': breakout |
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splits: |
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- name: train |
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num_bytes: 6636053024.34 |
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num_examples: 380870 |
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download_size: 1429629384 |
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dataset_size: 6636053024.34 |
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license: mit |
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task_categories: |
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- image-classification |
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tags: |
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- game |
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- rocket league |
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- mobile |
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- car |
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- synthetic |
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pretty_name: Rocket League Sideswipe |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Rocket League Sideswipe Vehicle Classification Dataset |
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## Dataset Description |
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- **Homepage**: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond |
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- **Report**: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond/src/branch/master/docs/rapport2.md |
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## Description |
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This dataset serves the purpose of vehicle recognition (classification) within the mobile video game Rocket League Sideswipe. |
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It comprises approximately 400,000 images. |
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The dataset was acquired through an automated script designed to customize in-game models (such as rims, hats, stickers, colors, ...) |
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and capture screenshots on an Android device, necessitating an approximate duration of 18 hours for compilation. |
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