N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras (Mini Train/Validation Splits)

Autor: Kim, Junho, Bae, Jaehyeok, Park, Gangin, Zhang, Dongsu, Kim, Young Min
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6388220
Popis: This repository contains N-ImageNet along with its variants. N-ImageNet is a large-scale dataset for event-based object recognition that also allows robustness evaluation in various external conditions. The train split is separated into 10 parts. To extract the event data in each .zip file, run the following command: unzip train_Part_i.zip for f in $( ls train_Part_i ); do tar -xvf train_Part_i/$f -C train_Part_i/ ;done rm -rf train_Part_i/*.tar.gz After this, make a separate folderextracted_trainandextracted_valas specified inhttps://github.com/82magnolia/n_imagenet#dataset-setupand start using mini N-ImageNet!
Databáze: OpenAIRE