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
- Cotton plants and weeds often grew very close to one another.
- Some weeds had similar shapes, colours, and leaf structures.
- Overlapping leaves made boundaries difficult to delineate.
- Dense vegetation created complex segmentation areas.
- Certain cotton plants were partially obscured by weeds or other plants.
- Variation across growth stages changed cotton plant size and appearance.
- Shadows and inconsistent lighting affected visibility.
- Precise polygon placement was required to avoid including weeds in cotton masks.
- Maintaining consistent quality across a large dataset required careful review.
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.