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
- Differentiating black grass from rye grass on visual characteristics alone.
- Similar-looking grass species made accurate classification difficult.
- Thin, narrow grass leaves demanded precise polygon placement.
- Dense vegetation obscured the boundaries of individual weeds.
- Overlapping plants required careful segmentation to avoid including neighbouring weeds.
- Partially visible weeds needed accurate boundary estimation.
- Growth stage differences produced wide variation in plant size and appearance.
- Soil, crops and other vegetation created complex backgrounds.
- Keeping segmentation boundaries accurate across multiple weed classes demanded sustained 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.