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
- Chilean needle grass had thin, narrow leaves that were difficult to outline precisely.
- Dense vegetation made individual plants difficult to separate.
- Similar-looking grasses and weeds complicated identification.
- Overlapping plants required careful polygon placement.
- Partially visible plants needed accurate boundary estimation.
- Different lighting conditions, shadows and field backgrounds affected visibility.
- Precise polygon boundaries around thin 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.