We released 12340 labeled images containing pixel-wise annotations of sugar beets and weeds. The labels belong to our previously published IJRR dataset paper: “Agricultural robot dataset for plant classification, localization, and mapping on sugar beet fields.” On average, we recorded data three times per week over 6 weeks within the season, which captures the interesting period for weed control starting at the emergence of the plants. The robot carried a 4-channel multi-spectral camera.
Link to the dataset
Link to the new labels: