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
- Detecting thin and small sticks within large field images.
- Crop stems, branches and dry vegetation were easily mistaken for sticks.
- Partially hidden and overlapping sticks complicated placement.
- Sticks lay at many different angles and orientations.
- Complex backgrounds contained soil, crops, weeds and natural debris.
- Lighting conditions and shadows sometimes made sticks difficult to identify.
- Keeping bounding boxes accurate around thin, irregularly positioned objects required care.
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.