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
- Blueberry plants had complex structures with many branches and leaves.
- Dense foliage made individual plant boundaries difficult to identify.
- Overlapping branches and neighbouring plants required careful segmentation.
- Similar-looking vegetation and weeds created additional identification difficulties.
- Partially visible plants needed precise boundary estimation.
- Different plant sizes and growth stages demanded consistent annotation standards.
- Shadows, lighting variations and complex field backgrounds affected plant visibility.
- Accurate polygon boundaries around irregular plant structures 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.