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Formats
Kaggle Wheat CSV
Kaggle Wheat CSV

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.

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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.

Kaggle Wheat CSV

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert
Kaggle Wheat CSV
to the following formats.
Kaggle Wheat CSV
 to 
Pascal VOC XML
Kaggle Wheat CSV
 to 
Tensorflow TFRecord
Kaggle Wheat CSV
 to 
COCO JSON
Kaggle Wheat CSV
 to 
YOLO Darknet TXT
Kaggle Wheat CSV
 to 
CreateML JSON
Kaggle Wheat CSV
 to 
YOLOv5 PyTorch TXT
Kaggle Wheat CSV
 to 
Google Cloud AutoML Vision CSV
Kaggle Wheat CSV
 to 
Sagemaker GroundTruth Manifest
Kaggle Wheat CSV
 to 
Scaled-YOLOv4 TXT
Kaggle Wheat CSV
 to 
YOLO Keras TXT
Kaggle Wheat CSV
 to 
OpenAI CLIP Classification
Kaggle Wheat CSV
 to 
RetinaNet Keras CSV
Kaggle Wheat CSV
 to 
Tensorflow Object Detection CSV
Kaggle Wheat CSV
 to 
Multiclass Classification CSV
Kaggle Wheat CSV
 to 
YOLOv4 PyTorch TXT
Use Roboflow to convert the following formats to
Kaggle Wheat CSV
format.
Here are pre-configured models that use
Kaggle Wheat CSV
. Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.
We don't currently have models that use this annotation format.
To see our entire list of computer vision models, check out the Roboflow Model Library.
kaggle.wheat.csv
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