Comparison of Data Set Bias in Object Recognition Benchmarks

Comparison of Data Set Bias in Object Recognition Benchmarks

Current research in the area of automatic visual object recognition heavily relies on testing the performance of new algorithms by using benchmark data sets. Such data sets can be based on standardized data sets collected systematically in a controlled environment (e.g., COIL-20), as well as benchma...

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Bibliographic Details
Main Authors: Ian Model, Lior Shamir
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Access
Subjects:
Object recognition
performance evaluation
benchmarks
validation
computer vision
pattern recognition
Online Access:https://ieeexplore.ieee.org/document/7299607/

Internet

https://ieeexplore.ieee.org/document/7299607/

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