We are pleased to announce the MLCAS 2019 - Sorghum head detection challenge. This challenge aims at identifying new machine learning approaches to advance the state-of-the-art in Sorghum head detection from UAV images. The detection of sorghum heads from crop row images will be useful in estimating yield. The train, validation and test sets containing around 1300 images are available to download from the "Files" tab under "Participate" section. More details on the MLCAS 2019 workshop can be found at https://register.extension.iastate.edu/mlcas2019/about. For more details on the dataset, please refer to
<class_name> <left> <top> <right> <bottom>.
sorghumHeadyieldTrail 0 507 38 545
sorghumHeadyieldTrail 0 942 20 970
sorghumHeadyieldTrail 0 1262 47 1309
sorghumHeadyieldTrail 2 735 22 759
sorghumHeadyieldTrail 6 704 56 750
<class_name> <confidence> <left> <top> <right> <bottom>).
sorghumHeadyieldTrail 0.621189 1 2 20 27
sorghumHeadyieldTrail 0.400580 1 173 20 196
sorghumHeadyieldTrail 0.396825 1 256 23 280
sorghumHeadyieldTrail 0.922975 2 136 16 158
sorghumHeadyieldTrail 0.734653 3 294 18 314
|June 10, 2019||MLCAS 2019 – Sorghum head detection challenge launched.|
|July 28, 2019||Submission deadline at 23:59:59 UTC.|
|August 5, 2019||Winners announced.|
|September 11, 2019||Awards presented at the MLCAS 2019 workshop.|
|September 12, 2019||Winners present their work at the MLCAS 2019 workshop.|
The top three winning teams will receive travel grants as listed below (in addition to waiver of registration fees). Students and early career researchers (within five years of receiving their terminal degree) are eligible for the awards. Note that the amounts listed below are for the whole team, not individual participants. Also, in order to be eligible for the award, at least one team member needs to attend the award ceremony on September 11 and present the team’s work on September 12 at MLCAS 2019.
Wei Guo, University of Tokyo, Japan
Soumik Sarkar, Iowa State University, USA
Baskar Ganapathysubramanian, Iowa State University, USA
Asheesh Singh, Iowa State University, USA
Arti Singh, Iowa State University, USA
For questions related to competition, please post on the discussion forum or contact firstname.lastname@example.org.
The mean average precision (MAP) with an Instersection Over Union (IOU) of 0.5 is used for evaluating the performance of the object detector.
The annotations in this dataset belong to the organizers of the challenge and is released for non-commercial research purpose only.
Start: July 13, 2019, midnight
July 28, 2019, 11:59 p.m.
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