Ey! In this video we'll explore THE dataset when it comes to object detection (and segmentation) which is COCO or Common Objects in Context Dataset, I'll share couple of interesting stories of working with it, and we'll learn a use-case of converting the COCO labels to the YOLOv3 format. Hope you enjoy :3
Links:
GitHub code: [ Ссылка ]
Colab code: [ Ссылка ]
YOLOv3 Series: [ Ссылка ]
Google Colab Series: [ Ссылка ]
The video about OpenLabelling: [ Ссылка ]
The gluon article: [ Ссылка ]
COCO dataset website: [ Ссылка ]
Hit me up on Twitter: [ Ссылка ] ( + Cool updates on what I'm up to there)
And on LinkedIn: [ Ссылка ]
Contact me directly: ivangoncharovai@gmail.com
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