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
- Garlic plants were often very small and difficult to identify.
- Dense and overlapping leaves made individual garlic plants difficult to separate.
- Some garlic plants were partially hidden by other plants or vegetation.
- Similar-looking weeds and surrounding crops created confusion during annotation.
- Complex field backgrounds made object boundaries difficult to identify.
- Different camera angles, lighting conditions, and image quality affected visibility.
- Maintaining accurate annotations while ensuring every garlic plant was counted required significant attention to detail.
- Closely positioned garlic plants made it challenging to create separate bounding boxes without overlap or missed objects.
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.