N-CARS

Dataset Information
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Overview

A large real-world event-based dataset for object classification.

Source: HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification

Variants: N-CARS

Associated Benchmarks

This dataset is used in 2 benchmarks:

  • Object Recognition - Metrics: Accuracy (% )
  • Classification - Metrics: Accuracy (%), Architecture, Representation, Representation Time( ms / 100ms events), Inference Time, Params (M)

Recent Benchmark Submissions

Task Model Paper Date
Object Recognition Spike-VGG11 EventRPG: Event Data Augmentation with … 2024-03-14
Classification GET GET: Group Event Transformer for … 2023-10-04
Classification MEM Masked Event Modeling: Self-Supervised Pretraining … 2022-12-20
Classification Spiking DenseNet121-24 Object Detection with Spiking Neural … 2022-05-09
Classification Spiking VGG-11 Object Detection with Spiking Neural … 2022-05-09
Classification Spiking MobileNet-64 Object Detection with Spiking Neural … 2022-05-09
Classification ResNet34 + EST End-to-End Learning of Representations for … 2019-04-17

Research Papers

Recent papers with results on this dataset:

External Links: