Kaggle Wheat CSV
to
YOLOv8 PyTorch TXT
The Global Wheat Detection challenge was hosted on Kaggle in the summer of 2020. Many Kagglers used Roboflow to process and augment their datasets for use with common machine learning frameworks as part of their entry into the competition.
The dataset uses a custom CSV format created by the University of Saskatchewan. Roboflow can parse this format and convert it into any other format of your choosing.
With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.
The
models all use the
data format.
image_id,width,height,bbox,source
b6ab77fd7,1024,1024,"[834.0, 222.0, 56.0, 36.0]",usask_1
b6ab77fd7,1024,1024,"[226.0, 548.0, 130.0, 58.0]",usask_1
b6ab77fd7,1024,1024,"[377.0, 504.0, 74.0, 160.0]",usask_1
b6ab77fd7,1024,1024,"[834.0, 95.0, 109.0, 107.0]",usask_1
b6ab77fd7,1024,1024,"[26.0, 144.0, 124.0, 117.0]",usask_1
b6ab77fd7,1024,1024,"[569.0, 382.0, 119.0, 111.0]",usask_1
b6ab77fd7,1024,1024,"[52.0, 602.0, 82.0, 45.0]",usask_1
b6ab77fd7,1024,1024,"[627.0, 302.0, 122.0, 75.0]",usask_1
b6ab77fd7,1024,1024,"[412.0, 367.0, 68.0, 82.0]",usask_1