Dataset · Hugging Face

UESTC-BICS/I2E

Name: I2E
Creator: UESTC-BICS
License: mit
Keywords: task_categories:image-classification, task_categories:video-classification, language:en, license:mit, size_categories:1M<n<10M, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2511.08065, region:us

I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks 🚀 Introduction This repository hosts the I2E-Datasets, a comprehensive suite of neuromorphic datasets generated using the I2E (Image-to-Event) framework. This work has been accepted for Oral Presentation at AAAI 2026. I2E bridges the data scarcity gap in Neuromorphic Computing and Spiking Neural Networks (SNNs). By simulating microsaccadic eye movements via highly parallelized… See the full description on the dataset page: https://huggingface.co/datasets/UESTC-BICS/I2E.

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Author / organization	UESTC-BICS
License (as declared)	mit
Downloads	1.3K (as reported by Hugging Face)
Likes	6
Created	5 December 2025
Last updated at source	27 July 2026

neuromorphicsnnspiking neural networkseventdvsbiologypytorchimagenetcifar10cifar100caltech101caltech256mnistfashionmnistmini-imagenet

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