ImageNet-1k vs OpenImage-O
Introduced by Wang et al. in ViM: Out-Of-Distribution with Virtual-logit Matching
OpenImage-O is built for the ID dataset ImageNet-1k. It is manually annotated, comes with a naturally diverse distribution, and has a large scale. It is built to overcome several shortcomings of existing OOD benchmarks. OpenImage-O is image-by-image filtered from the test set of OpenImage-V3, which has been collected from Flickr without a predefined list of class names or tags, leading to natural class statistics and avoiding an initial design bias.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ImageNet-1k vs OpenImage-O
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NNGuide
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Papers
| Paper | Code | Results | Date | Stars |
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