ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
© 2019 Neural information processing systems foundation. All rights reserved. We collect a large real-world test set, ObjectNet, for object recognition with controls where object backgrounds, rotations, and imaging viewpoints are random. Most scientific experiments have controls, confounds which are...
Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
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Online Access: | https://hdl.handle.net/1721.1/138345 |