1aurent/Rocket-League-Sideswipe

---
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.

原始信息汇总

Rocket League Sideswipe Vehicle Classification Dataset

数据集描述

• 数据集用途: 用于移动视频游戏Rocket League Sideswipe中的车辆识别（分类）。
• 数据量: 包含约400,000张图像。
• 数据获取方式: 通过自动化脚本定制游戏内模型（如轮圈、帽子、贴纸、颜色等）并在Android设备上截取屏幕截图，采集过程约需18小时。

数据集信息

• 特征:
  • image: 图像数据
  • label: 分类标签，包括以下类别：
    • 0: octane
    • 1: aftershock
    • 2: werewolf
    • 3: breakout
• 数据分割:
  • train: 训练集，包含380870个样本，大小为6636053024.34字节。
• 下载大小: 1429629384字节
• 数据集大小: 6636053024.34字节
• 许可证: MIT
• 任务类别: 图像分类
• 标签: 游戏、火箭联盟、移动设备、汽车、合成数据
• 数据集名称: Rocket League Sideswipe
• 数据集规模: 100K<n<1M