Skip to content

Commit 72ba48d

Browse files
author
dbickson
committed
2 parents c1b9062 + 04a1271 commit 72ba48d

File tree

1 file changed

+2
-5
lines changed

1 file changed

+2
-5
lines changed

README.md

Lines changed: 2 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -1,8 +1,7 @@
11

22
FastDup | A tool for gaining insights from a large image collection
33
===================================================================
4-
5-
> Large Image Datasets Todaty are a Mess | <a href="https://medium.com/@amiralush/large-image-datasets-today-are-a-mess-e3ea4c9e8d22">Blog Post</a><br> <a href="https://youtu.be/16v_6Vk59hc">Video Tutorial </a><br>
4+
> Large Image Datasets Today are a Mess | <a href="https://medium.com/@amiralush/large-image-datasets-today-are-a-mess-e3ea4c9e8d22">Blog Post</a> | <a href="https://youtu.be/16v_6Vk59hc">Video Tutorial </a><br>
65
76
FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similarity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.
87

@@ -84,8 +83,6 @@ fastdup.create_duplicates_gallery('outliers.csv', save_path='.') #create
8483
# Technology
8584
We build upon several excellent open source tools. [Microsoft's ONNX Runtime](https://github.com/microsoft/onnxruntime), [Facebook's Faiss](https://github.com/facebookresearch/faiss), [Open CV](https://github.com/opencv/opencv), [Pillow Resize](https://github.com/zurutech/pillow-resize), [Apple's Turi Create](https://github.com/apple/turicreate), [Minio](https://github.com/minio/minio), [Amazon's awscli](https://github.com/aws/aws-cli).
8685

87-
8886
# About Us
89-
<a href="https://www.linkedin.com/in/dr-danny-bickson-835b32">Danny Bickson</a><br>
90-
<a href="https://www.linkedin.com/in/amiralush">Amir Alush</a><br>
87+
<a href="https://www.linkedin.com/in/dr-danny-bickson-835b32">Danny Bickson</a>, <a href="https://www.linkedin.com/in/amiralush">Amir Alush</a><br>
9188

0 commit comments

Comments
 (0)