National Data Labeling Experience
Internal Proprietary ToolingImageClassificationObject Detection
The project was all about annotating crop imagery and field data to support machine learning models for crop disease detection and yield optimization. Accurately labeled over 9,000 images of local crop varieties including cocoa, coffee, and cashew trees, identifying disease symptoms, pest damage, and growth stages with 98% accuracy rate.
The project was all about annotating crop imagery and field data to support machine learning models for crop disease detection and yield optimization. Accurately labeled over 9,000 images of local crop varieties including cocoa, coffee, and cashew trees, identifying disease symptoms, pest damage, and growth stages with 98% accuracy rate.
2024 - 2024