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README.md

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@@ -8,6 +8,9 @@ From the authors of [GraphLab](https://github.com/jegonzal/PowerGraph) and [Turi
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/mscoco_duplicates-min.png)
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*Duplicates and near duplicates identified in [MS-COCO](https://cocodataset.org/#home) and [Imagenet-21K](https://www.image-net.org) dataset*
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/imagenet21k_wrong_labels-min.png)
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*Wrong labels in the [Imagenet-21K](https://www.image-net.org) dataset* Different labels to visaully similar daisy flower images.
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/red_wine.png)
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*Cluster of wrong labels in the [Imagenet-21K](https://www.image-net.org) dataset. No human can tell those red wine flavors from their image.*
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@@ -20,9 +23,6 @@ From the authors of [GraphLab](https://github.com/jegonzal/PowerGraph) and [Turi
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/landmark_outliers-min.png)
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*Outliers in the [Google Landmark Recognition 2021 dataset](https://www.kaggle.com/competitions/landmark-recognition-2021) (dataset intention is to capture recognizable landmarks, like the empire state building etc.)*
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/imagenet21k_wrong_labels-min.png)
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*Wrong labels in the [Imagenet-21K](https://www.image-net.org) dataset* Different labels to visaully similar daisy flower images.
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![alt text](https://github.com/visualdatabase/fastdup/blob/main/gallery/imagenet21k_funny-min.png)
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*Fun labels in the [Imagenet-21K](https://www.image-net.org) dataset*
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