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updated the number of classes
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usuyama committed Sep 7, 2020
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Expand Up @@ -7,7 +7,7 @@ The characteristics of the ePillID benchmark include:

![Examples of reference and consumer images in ePillID](imgs/ePillID_reference_consumer_images.png)

* Low-shot and fine-grained setting: 13k images representing 8184 appearance classes (two sides for 4092 pill types). For most of the appearance classes, there exists only one reference image, making it a challenging low-shot recognition setting.
* Low-shot and fine-grained setting: 13k images representing 9804 appearance classes (two sides for 4902 pill types). For most of the appearance classes, there exists only one reference image, making it a challenging low-shot recognition setting.

![ePillID data distribution](imgs/ePillID_stats.png)

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