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 segment precisely.
- Thin and elongated leaves made polygon placement challenging.
- Multiple garlic plants frequently overlapped or were positioned very close to each other.
- Dense vegetation made individual plant boundaries difficult to identify.
- Some plants were partially hidden behind other plants or leaves.
- Similar-looking weeds and surrounding vegetation created additional annotation challenges.
- Complex soil and field backgrounds made object boundaries less obvious.
- Varying lighting conditions and image quality affected plant visibility.
- Maintaining precise polygon boundaries across a large dataset required significant attention to detail.
Related work
Aerial Orthomosaic Segmentation
Whole-site orthomosaics segmented into vegetation, water and bare ground across tiles stitched from multiple flights.
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.
Black Grass Segmentation
Polygon masks isolating black grass from crops and similar-looking grasses across dense agricultural field imagery.