Sample frames for this project are available under NDA. Write to bilal@wortel.ai and we will share the relevant before and after pairs.
Challenges
- Detecting cabbage plants in dense agricultural fields.
- Weeds and other similar-looking plants were easily confused with cabbage.
- Overlapping or closely positioned cabbage plants had to be separated.
- Partially hidden plants still required annotation.
- Growth stages and plant sizes varied considerably across the dataset.
- Complex backgrounds contained soil, leaves, weeds and other crops.
- Varying lighting conditions and shadows affected plant visibility.
- Keeping bounding boxes tight around irregularly shaped cabbage plants took care.
Related work
Ground Cover Quadrat Segmentation
2,275 cover-crop plot images annotated in Labelbox: plot corners boxed, then every pixel classed as groundcover, weed, residue, crop or soil.
Almond Tree Detection
Bounding boxes around individual almond trees in top-down drone imagery, where shadows and neighbouring vegetation mimicked real trees.
Apple Detection
Bounding boxes around individual apples on tree branches, where dense leaves and occlusion hid much of each fruit.