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DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer

About

Recently, there has been a flurry of industrial activity around logo recognition, such as Ditto's service for marketers to track their brands in user-generated images, and LogoGrab's mobile app platform for logo recognition. However, relatively little academic or open-source logo recognition progress has been made in the last four years. Meanwhile, deep convolutional neural networks (DCNNs) have revolutionized a broad range of object recognition applications. In this work, we apply DCNNs to logo recognition. We propose several DCNN architectures, with which we surpass published state-of-art accuracy on a popular logo recognition dataset.

Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer• 2015

Related benchmarks

TaskDatasetResultRank
Logo RecognitionFlickrLogos-32 (test)--
13
Logo ClassificationFlickrLogos-32 (test)
Accuracy89.6
10
Logo DetectionFlickrLogos-32
mAP74.4
8
Localized Logo DetectionFlickrLogos-32 (test)
adidas61.6
2
Non-localized Logo DetectionFlickrLogos-32 (test)
Brand Accuracy: adidas44
1
Showing 5 of 5 rows

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