EEG
Datasets
All datasets matching “EEG”things-eeg
THINGS-EEG
This dataset is a processed version of THINGS-EEG, derived from the paper Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior (CVPR 2025). In this version, the EEG data is stored in float16 format, reducing the storage size by half. The original official dataset can be accessed from the OSF repository.
Original official dataset:
A large and rich EEG dataset for modeling human visual object recognition [THINGS-EEG]
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Haitao999/things-eeg.eegmmidb_0to8_crossEEG_Image_decode
EEG Image Decode — Dataset and Checkpoints
This dataset accompanies the NeurIPS 2024 paper:
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion Dongyang Li · Chen Wei · Shiying Li · Jiachen Zou · Quanying Liu
It packages the preprocessed EEG recordings, stimulus-image visual features, VAE latent codes, trained EEG embeddings, fine-tuned checkpoints, and generated images needed to reproduce both the image retrieval and image reconstruction experiments.… See the full description on the dataset page: https://huggingface.co/datasets/LidongYang/EEG_Image_decode.EEG_records_raw_schizophrenia_bipolarseizure_eeg_train
Dataset Card for "seizure_eeg_train"
from datasets import load_dataset
dataset_name = "JLB-JLB/seizure_eeg_train"
dataset = load_dataset(
dataset_name,
split="train",
)
display(dataset)
# create train and test/val split
train_testvalid = dataset.train_test_split(test_size=0.1, shuffle=True, seed=12071998)
display(train_testvalid)
# get the number of different labels in the train, test and validation set
display(train_testvalid["train"].features["label"])… See the full description on the dataset page: https://huggingface.co/datasets/JLB-JLB/seizure_eeg_train.seizure_eeg_greyscale_224x224_6secWindow
Dataset Card for "seizure_eeg_greyscale_224x224_6secWindow"
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