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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': octane
'1': aftershock
'2': werewolf
'3': breakout
splits:
- name: train
num_bytes: 6636053024.34
num_examples: 380870
download_size: 1429629384
dataset_size: 6636053024.34
license: mit
task_categories:
- image-classification
tags:
- game
- rocket league
- mobile
- car
- synthetic
pretty_name: Rocket League Sideswipe
size_categories:
- 100K<n<1M
---
# Rocket League Sideswipe Vehicle Classification Dataset
## Dataset Description
- **Homepage**: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond
- **Report**: https://git.fainsin.bzh/ENSEEIHT/projet-reseaux-profond/src/branch/master/docs/rapport2.md
## Description
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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