datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mini-carla-192x320-v3
mini-carla-192x320-v3
Action- and camera-pose-conditioned driving clips rendered offline from
CARLA 0.9.16 — the v3 scale-up of
mini-carla-192x320,
built as the training corpus for
miniworld, a minimal flow-matching
world-model framework.
10.48 M frames / 145.6 hours at 192×320 (h×w), 20 Hz, across 21
training environments (7 towns × 3 camera regimes), plus a held-out-town
validation split (Town07, all three regimes).
train
val
Episodes
17,471
246
Frames
10,482,600… See the full description on the dataset page: https://huggingface.co/datasets/kamwoh/mini-carla-192x320-v3.mini-carla-192x320
mini-carla-192x320
Action-conditioned driving clips rendered offline from CARLA 0.9.16, built as the
training set for miniworld, a minimal
flow-matching world-model framework.
192,000 frames at 192×320 (h×w), 20 Hz, across 16 environments — 8 CARLA towns
seen from two camera regimes.
Frames
192,000 (12,000 per env × 16 envs)
Episodes
320 (20 per env, 600 frames = 30 s each)
Resolution
192 × 320 (h × w), RGB uint8
Frame rate
20 Hz (fixed_delta_seconds = 0.05)… See the full description on the dataset page: https://huggingface.co/datasets/kamwoh/mini-carla-192x320.record-grab-minicarmini-carla-192x320-wan-2p2-vae
mini-carla-192x320-wan-2p2-vae
Wan2.2-VAE-encoded latents of a small CARLA driving dataset (192x320, native resolution,
no resize). Produced for training miniworld, a
minimal flow-matching world-model framework, by caching pixel clips through the frozen
pretrained Wan2.2 video VAE instead of a locally-trained one.
Data size
Source pixel dataset
mini_192x320_low: 320 episodes, 600 frames each (192x320, 20 fps) — ~33 GB
Clips in this cache
1,920 (6… See the full description on the dataset page: https://huggingface.co/datasets/kamwoh/mini-carla-192x320-wan-2p2-vae.mini_car_bikes_detectionminicar-videos
📹 MiniCar Competition Videos
自動運転ミニカーコンペティションの走行動画アーカイブ
構造
videos/
├── TeamA_20250115_120000.mp4
├── TeamB_20250115_130000.mp4
└── ...
動画の閲覧
各動画は直接ストリーミング再生可能です。
ファイルURLの例:
https://huggingface.co/datasets/Romihi50/minicar-videos/resolve/main/videos/FILENAME.mp4
minicar-dataset
🏎️ MiniCar Dataset
aminicar のトレーニング用データセット
使い方
from datasets import load_dataset
dataset = load_dataset("aminicar/minicar-dataset")
mini-car-dataset-3brandsminicar-dataset
🏎️ MiniCar Autonomous Driving Dataset
自動運転ミニカー用のトレーニングデータセット
概要
このデータセットには以下が含まれます：
カメラ画像
センサーデータ（IMU等）
アノテーション（ステアリング角度、スロットル）
データ構造
minicar-dataset/
├── train/
│ ├── images/ # カメラ画像 (JPG/PNG)
│ ├── sensors/ # センサーデータ (CSV)
│ └── annotations.csv # ラベルデータ
├── test/
│ └── ...
└── README.md
使い方
from datasets import load_dataset
dataset = load_dataset("Romihi50/minicar-dataset")
# トレーニングデータ
for sample in… See the full description on the dataset page: https://huggingface.co/datasets/Romihi50/minicar-dataset.minicar-leaderboard
🏆 MiniCar Competition Leaderboard
自動運転ミニカーコンペティションのリーダーボードデータ
データ構造
カラム
説明
submission_id
提出ID
team_name
チーム名
model_name
モデル名
lap_time
ラップタイム（秒）
success_rate
成功率（%）
track_name
トラック名
video_url
動画URL
model_repo
モデルリポジトリ
notes
備考
submitted_at
提出日時
verified
検証済みフラグ
使い方
import pandas as pd
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="Romihi50/minicar-leaderboard"… See the full description on the dataset page: https://huggingface.co/datasets/Romihi50/minicar-leaderboard.