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Title	Points	Comments	Date
ImageNet contains naturally occurring Apple NeuralHash collisions	860	--	2021-08-19
Using computer vision to help win $1M in Mountain Dew's Super Bowl …	234	--	2021-02-08
Zero Shot Object Tracking	83	--	2021-08-26
Using Computer Vision to Win at Duck Hunt	51	--	2021-08-27
YOLOv5 v6.0 is here – new Nano model at 1666 FPS	14	--	2021-10-13
Show HN: Protecting My Garden from Rabbits with Computer Vision	11	--	2021-07-21
How to try CLIP: OpenAI's new universal zero-shot image classifier	8	--	2021-01-08
The Engineer's Guide to Figma	7	--	2021-10-07
How we built paint.wtf, an AI game with 150k submissions that judges …	6	--	2021-03-16
Roboflow and Ultralytics Partner to Streamline YOLOv5 MLOps	5	--	2021-10-01
Mitigating the Collision of Apple's CSAM NeuralHash	5	--	2021-08-18
Florence: Microsoft’s new foundation model for computer vision	4	--	2021-12-10
How we used OpenAI's CLIP to build an infinite art competition	4	--	2021-03-19
The Future of Football: AI-Assisted Coaches	3	--	2021-10-26
Using Computer Vision to Play Dreidel	2	--	2021-12-04
Transformers Take Over Object Detection	2	--	2021-08-10
How to Train Yolox on a Custom Dataset	2	--	2021-08-02
Experimenting with CLIP+VQGAN to create AI generated art	2	--	2021-07-26
PP-YOLO Strikes Again – Record Object Detection at 68.9FPS	2	--	2021-05-11
ELI5 Clip: A Beginner's Guide to the Clip Model	2	--	2021-03-10
OpenAI's CLIP is this year’s most important new computer vision model [Opinion]	1	--	2021-09-13
Prompt engineering: the magic words to using OpenAI's CLIP	1	--	2021-05-18

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