Crop Row Benchmark Dataset

Crop row benchmark dataset (CRBD) contains images of crops of different types which can be used for evaluation of crop row detection methods. This evaluation image set includes images of maize, celery, potato, onion, sunflower and soya bean crops. Different amount of weed and shadow occur in the captured images. On some images, grass, sky or road appears. Furthermore, the images are taken at moderately varying yaw, pitch and roll angles. The images were acquired with a Panasonic LUMIX DMC-F2 digital camera during the spring of 2014 in Croatian region Slavonia. The complete evaluation image set contains 281 images. An example of the crop row image is shown in the figure below.

Furthermore, CRBD contains ground truth data which are created manually for each image. An example of ground truth crop row curves created for one of the test images is shown in the figure below.

The ground truth data enables evaluation and comparison of different crop row detection methods. The complete CRBD can be downloaded from this link. It contains a  framework for evaluation of crop row detection methods with detailed instructions of how to use it.

 

 


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