Datasets › CIFAR10-DVS

CIFAR10-DVS

archive 2025-07-28

CIFAR10-DVS is an event-stream dataset for object classification. 10,000 frame-based images that come from CIFAR-10 dataset are converted into 10,000 event streams with an event-based sensor, whose resolution is 128×128 pixels. The dataset has an intermediate difficulty with 10 different classes. The repeated closed-loop smooth (RCLS) movement of frame-based images is adopted to implement the conversion. Due to the transformation, they produce rich local intensity changes in continuous time which are quantized by each pixel of the event-based camera.

Source: Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor Image Source: https://www.frontiersin.org/articles/10.3389/fnins.2017.00309/full

Homepage Benchmarks Papers JSON

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

		First row (archive order)	Paper	Code
Event data classification	CIFAR10-DVS	tdBN + NDA (VGG11) Accuracy 81.7	Neuromorphic Data Augmentation for Training Spiking...	intelligent-computing-lab-yale/nda_snn	7	Compare
Object Recognition	CIFAR10-DVS	Spike-VGG11 Accuracy (% ) 85.55	EventRPG: Event Data Augmentation with Relevance...	myuansun/eventrpg	2	Compare

Papers archive 2025-07-28

9 shown of 9 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 23. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

			Date	Samples run Syntology
EventRPG: Event Data Augmentation with Relevance Propagation Guidance	1	1	14 Mar 2024	ran 5 of 16 samples (11 unverified)
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network	0	1	2 Jan 2024	not harvested
IM-Loss: Information Maximization Loss for Spiking Neural Networks	0	1	31 Oct 2022	not harvested
Online Training Through Time for Spiking Neural Networks	1	1	9 Oct 2022	ran 3 of 3 samples (0 unverified; 3 pointer-only for licence)
Ecsnet: Spatio-temporal feature learning for event camera	1	1	29 Aug 2022	not harvested
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks	1	1	10 Jun 2022	not harvested
Neuromorphic Data Augmentation for Training Spiking Neural Networks	1	1	11 Mar 2022	ran 0 of 2 samples (2 unverified)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks	0	1	1 Dec 2021	not harvested
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction	1	1	27 Mar 2020	not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Object Recognition Event data classification

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

CIFAR10-DVS

1 variant name, as the archive lists them.

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