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AgricultureBounding BoxImage Classification

Orange Detection & Ripeness Classification

Bounding boxes grading fallen oranges as rotten, ripe or green, where colour and decay cues shift with the light.

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

  • Distinguishing between ripe and green oranges from visible colour and appearance.
  • Rotten oranges had to be identified from visible damage, discolouration or decay.
  • Overlapping oranges and partially occluded objects complicated boundary placement.
  • Oranges needed detecting among grass, soil, leaves and other background elements.
  • Consistent classification had to hold across different lighting conditions and viewpoints.

Related work

SAMPLE PENDING

Cabbage Size Classification

Bounding boxes plus small, medium or large size labels on each cabbage, judged consistently despite shifting camera distance.

SAMPLE PENDING

Corn Detection & Growth Stage Classification

Bounding boxes separating large and small corn plants from weeds and ambiguous vegetation across complex field imagery.

SAMPLE PENDING

Cotton Detection & Size Classification

Cotton bolls boxed and split into regular and small classes among dense leaves, branches, and heavy occlusion.