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Hikvision ranked No.1 in Scene Classification at ImageNet 2016 challenge

October 13, 2016    Hikvision, the world’s leading supplier in innovative video security products and solutions, recently achieved No.1 position in the Scene Classification category at the ImageNet Large Scale Visual Recognition Challenge 2016.

 

ImageNet, the global image database resource, hosts the Large Scale Visual Recognition Challenge (ILSVRC) to establish a benchmark in object category classification and detection across hundreds of object categories, and millions of images. Run annually since 2010, the challenge attracts participants from more than fifty leading research institutions worldwide.

 

Organised by Stanford University, Carnegie Mellon University, University of Michigan and UNC Chapel Hill, a high level impetus for the ILSVRC is to allow researchers to compare progress in detection across a wider variety of objects. Another driver is to measure the progress of computer vision for large-scale image indexing, to enable effective retrieval and annotation.

 

No.1 in Scene Classification

Encompassing Object detection, Object localisation, Object detection from video, Scene classification and