Update README.md

Author: amiralush

README.md

@@ -25,7 +25,6 @@ From the authors of [GraphLab](https://github.com/jegonzal/PowerGraph) and [Turi
 ## Results on Key Datasets
 We have thoroughly tested fastdup across various famous visual datasets. Ranging from pilar Academic datasets to Kaggle competitions. A key finding we have made using FastDup is that there are ~1.2M (!) duplicate images on the ImageNet-21K dataset, out of which 104K pairs belong both to the train and to the val splits (this amounts to 20% of the validation set). This is a new unknown result! Full results are below. * train/val splits are taken from https://github.com/Alibaba-MIIL/ImageNet21 .
 
-### FastDup is FAST
 |Dataset	        |Total Images	|cost [$]|spot cost [$]|processing [sec]|Identical pairs|Anomalies|
 |-----------------------|---------------|--------|-------------|----------------|---------------|---------|
 |[imagenet21k-resized](https://www.image-net.org/challenges/LSVRC/)	|11,582,724	|4.98	|1.24	|11,561	|[1,194,059](https://www.databasevisual.com/imagenet-21k-resized-leaks)|[Anomalies](https://www.databasevisual.com/imagenet-21k-anonalies) [Wrong Labels](https://www.databasevisual.com/imagenet-21k-wrong-labels)||