Kewoda joanitah
@kewodajoanitah
Data Annotator at IoT-ra Lab, Makerere University, labeling dense honeycomb and larvae images for the BeeComb object detection dataset.
UgandaWhat I'm looking for
At IoT-ra Lab, Makerere University, I label images for the BeeComb object detection dataset using bounding boxes in Roboflow. I annotate dense honeycomb and larvae scenes, applying multiple label classes consistently for computer vision training.
I’m studying Computer Science at Makerere University and independently studying Domain-Driven Design, data modeling, and business process management. I’m also writing technical posts on LinkedIn about these topics.
Experience
Work history, roles, and key accomplishments
Data Annotator (Labeler)
IoT-ra Lab, Makerere University
Jan 2026 - Present (9 months)
Label images for an object detection dataset (the BeeComb project) using bounding boxes in Roboflow. Annotate dense scenes with many small, closely packed objects per image, including honeycomb and larvae images.
Education
Degrees, certifications, and relevant coursework
Makerere University
Bachelor of Science, Computer Science
Current student pursuing a Computer Science degree at Makerere University, with hands-on experience in data annotation and object detection labeling.
Tech stack
Software and tools used professionally
Availability
Location
UgandaAuthorized to work in
Salary expectations
Social media
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