Read COCO Dataset for Bounding Boxes (including YOLOv3 format) in Python || Datasets ASAP #3

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: https://github.com/ivangrov/Datasets-ASAP Colab code: https://colab.research.google.com/drive/14aEMzRDxHg04IXeocRoIHSgKIKqczyU8 YOLOv3 Series: https://www.youtube.com/playlist?list=PLZBN9cDu0MSk4IFFnTOIDihvhnHWhAa8W Google Colab Series: https://www.youtube.com/playlist?list=PLZBN9cDu0MSnxbfY8Pb1gRtR0rKW4RKBw The video about OpenLabelling: https://youtu.be/kmgocZpidU8 The gluon article: https://gluon-cv.mxnet.io/build/examples_datasets/mscoco.html COCO dataset website: http://cocodataset.org/ Hit me up on Twitter: https://twitter.com/Ivangrov ( + Cool updates on what I'm up to there) And on LinkedIn: https://www.linkedin.com/in/ivangrov/ Contact me directly: [email protected] ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ It would mean the world to me, if you decided to support me and the channel =) ►You may consider watching ads that show up on the videos Making these videos takes a lot of time and effort, so If you decide to support me, please don't hesitate get in touch with me as I'd like to thank you personally! ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Thanks for watching!