2023 ACRE Cascade Campaign

In the 2023 ACRE 2nd Cascade Campaign, participants are asked to perform object detection to recognize crop plants and weeds on RGB images. Data was collected in real crop fields during the 1st Field Campaign in June 2022. The dataset comprises images captured by an agricultural robot of different field plots with an RGB camera. Images represent two kinds of crops (maize and bean) and multiple species of weeds. Participants are provided with labeled images to train their models, and they are asked to submit their hypothesis (detections in COCO format) of a test dataset.

Competition was taking place on Codalab: https://codalab.lisn.upsaclay.fr/competitions/11237 from March 7 to May 9, 2023


Place Team Score
1st winner GT team composed by Min Gao, Mengjia Wang, Jingwen Zhang 0.4913
2nd winner Smartfarmrobotix team composed by Rossen Dimov 0.4599
3rd winner XLIM-ReMIX team composed by Franco Jesus, Tariq Zioud, Daniel Soto Guerrero, Jorge Aviles 0.4593
4th winner Eli Spizzichino 0.4472


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