For each image in the test dataset, you will predict a list of label and bounding boxes.

It contains two columns:

  • ImageId: the id of the test image, for example Adachi_test_00000001
  • PredictionString: the prediction string should be a space delimited of 5 integers. For example, 2 240 170 260 240 means it's label 2, with a bounding box of coordinates (x_min, y_min, x_max, y_max). We accept up to 5 predictions. For example, if you submit 3 42 24 170 186 1 292 28 430 198 4 168 24 292 190 5 299 238 443 374 2 160 195 294 357 6 3 214 135 356 which contains 6 bounding boxes, we will only take the first 5 into consideration.

Submission link:
Deadline:
  • November 10th (11.59pm *USA Eastern Standard Time*) .
Contents in technical paper (absolute):
  • Explanation of your method
  • Evaluation of your method (you can use results obtained on the site of road damage detection challenge)
  • References (please cite https://doi.org/10.1111/mice.12387)
Contents in technical paper (preferably):
  • Detailed evaluation of your result (inference speed, model size etc.)
  • Examples of failure, efforts that did not go well
  • Code and trained model link