“Bilal and his team did an amazing job on our image annotation project. We completed the project in Labelbox but they are comfortable working in any of the major labeling platforms.”
Committed to QualityClear CommunicatorProfessionalReliable
Challenges
- Perennial ground cover (pgc) must be separated from broadleaf weeds and from weedy grasses inside the same plot.
- Stover, bare soil, and senescing crop tissue sit close in colour under natural field light.
- Soil masks need honest boundaries on complex texture; unlabeled pixels are aggregated into soil at training time.
- Only one ROI style appears per image, either quadrat corners or coloured markers, and segmentation must match that choice.
- Living corn and soybean foliage must stay distinct from stover and from cover crops in mixed stands.
- Rare classes (snow, namecard, person, marking_flag) still need correct masks when they appear.
Client feedback
“Bilal and the team at WortelAI did a great job annotating images in a complex agricultural image dataset that we have. He and his team submitted accurate annotations and quickly responded to feedback throughout the engagement.”
Committed to QualityDetail OrientedSolution Oriented
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