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 Lanata weeds from other plants and surrounding vegetation.
- Dense field conditions made individual weed boundaries difficult to identify.
- Overlapping leaves and closely positioned plants required careful polygon placement.
- Small or partially visible weeds were challenging to segment accurately.
- Similar-looking vegetation created additional identification challenges.
- Complex backgrounds containing crops, grass, soil and field residue affected visibility.
- Varying lighting conditions and shadows made plant boundaries less clear.
- Precise polygon boundaries had to exclude surrounding vegetation, which demanded 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.