datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gelsight-mini-pretrain
GelSight Mini Pretrain
~853K GelSight Mini tactile RGB frames, 12 public sources, one parquet schema. Built for self-supervised representation learning (VAE / MAE / SimCLR / DINO) — every frame contact-filtered, channel-normalized, and re-encoded as JPEG q92.
Frames
Sources
Real
536K
FoTA (labeled+unlabeled), 3DCal, FEATS, GelSLAM, TactileTracking, RTM, FeelAnyForce, UniT, TacQuad
Sim
317K
sim_tactile_mnist, sim_starstruck (Taxim-rendered, Mini-calibrated)
NC… See the full description on the dataset page: https://huggingface.co/datasets/yxma/gelsight-mini-pretrain.forestllava-dataset
Forest-LLaVA Multimodal Tree-Species Dataset
Forest-LLaVA is a multimodal remote-sensing dataset for tree-species
recognition and structured vision-language research. Each record is indexed by
a numeric sample_id from the US subset of GlobalGeoTree and is linked to a
60 m × 60 m patch from NAIP Optical, Sentinel-2 MSI and Sentinel-1 SAR data,
four-level taxonomic labels and geographic/environmental records.
The repository contains the complete image archives for the… See the full description on the dataset page: https://huggingface.co/datasets/minute1028/forestllava-dataset.gelsight-mini-pretrain-nc
GelSight Mini Pretrain · Non-Commercial Extension
⚠️ Non-commercial use only. This repository is licensed
CC-BY-NC-4.0 because it includes upstream sources whose licenses
restrict commercial use. For commercial-friendly Mini tactile data,
see the main yxma/gelsight-mini-pretrain repo
(CC-BY-4.0).
This dataset is the CC-BY-NC extension of yxma/gelsight-mini-pretrain.
It contains only the GelSight Mini sources whose upstream licenses are
not compatible with CC-BY-4.0 aggregation.… See the full description on the dataset page: https://huggingface.co/datasets/yxma/gelsight-mini-pretrain-nc.gelsight-mini-pretrain-video
GelSight Mini Pretrain · Video / Sequence Subset
🎬 Companion to yxma/gelsight-mini-pretrain.
Where the main repo treats every kept frame as an independent image, this repo
preserves temporal sequences — one row per frame, ordered, with explicit
sequence-id + position metadata, for video tactile pretraining.
Why this repo
The main repo's pipeline applies perceptual-hash dedupe within each capture
to drop near-identical adjacent frames. That's great for image-level… See the full description on the dataset page: https://huggingface.co/datasets/yxma/gelsight-mini-pretrain-video.minicar-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.