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  # Rocket League Sideswipe Vehicle Classification Dataset
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- This dataset serves the purpose of vehicle recognition (classification) within the mobile video game Rocket League Sideswipe. It comprises approximately 400,000 images. The dataset was acquired through an automated script designed to customize in-game models (such as rims, hats, stickers, colors, ...) and capture screenshots on an Android device, necessitating an approximate duration of 18 hours for compilation.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Rocket League Sideswipe Vehicle Classification Dataset
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+ ![](https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond/raw/branch/master/docs/demo_datas.gif)
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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.