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AgricultureBounding Box

Solanum Nigrum Weed Detection

Bounding boxes marking Solanum nigrum at varied growth stages, separating it from crops, grass and lookalike weeds.

SAMPLE PENDING

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 Solanum nigrum from visually similar weeds and surrounding vegetation.
  • Identifying small plants within dense agricultural fields.
  • Handling partially visible or overlapping weeds.
  • Growth stage differences produced variation in plant size and appearance.
  • Complex backgrounds of crops, soil, grass and other weeds made detection harder.
  • Varying lighting conditions and shadows affected plant visibility.
  • Keeping bounding boxes tight and accurate around irregular plant structures demanded careful attention to detail.

Related work

Ground Cover Quadrat Segmentation - annotation sample

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.

SAMPLE PENDING

Almond Tree Detection

Bounding boxes around individual almond trees in top-down drone imagery, where shadows and neighbouring vegetation mimicked real trees.

SAMPLE PENDING

Apple Detection

Bounding boxes around individual apples on tree branches, where dense leaves and occlusion hid much of each fruit.