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
- Counting individual tobacco plants in dense field environments.
- Distinguishing tobacco plants from weeds and surrounding vegetation.
- Closely positioned and overlapping plants were hard to separate.
- Small plants at early growth stages were easy to miss.
- Partially visible plants had to be annotated accurately.
- Complex backgrounds contained soil, crop residue and other vegetation.
- Differing plant sizes and growth stages called for consistent annotation standards.
- No plant could be missed or counted twice without skewing the stand count.
Related work
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.
Almond Tree Detection
Bounding boxes around individual almond trees in top-down drone imagery, where shadows and neighbouring vegetation mimicked real trees.
Apple Detection
Bounding boxes around individual apples on tree branches, where dense leaves and occlusion hid much of each fruit.