Adebolanle Okuboyejo

Key Skills

Software

Roboflow

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Task Types

Audio Recording

Bounding Box

Classification

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Tracking

Freelancer Overview

As a graduate in robotics i have worked on many projects that involved labeling data and training models to perform specific tasks. One of the interesting projects I worked on was a board game called Shut the Box. I took numerous pictures of the board state and dice to form my data, then used Roboflow (a data labeling platform) to annotate and label the relevant elements, and finally used YOLOv8, an object detection algorithm, to train different models, the major ones being the tile detection model and the dice detection model. These models are then passed into OpenCV using a python script to enable detection through a camera. In another project, a systems integration project on a sorting system, which was a submission for a Siemens competition I participated in. My teammate and I worked on bridging the communication between a robotic and a mechatronic system located in different buildings using object detection. We took pictures of the lids to be sorted, annotated them and labelled them according to their colors and trained a model using YOLOv8. After training the model, we then passed it into OpenCv using Python, to enable our camera to detect the lids correctly. You can check out my Github repositories to see more details and other projects here: https://github.com/kvngAiseal?tab=repositories

Labeling Experience

Shut The Box Game Using Computer Vision

RoboflowImageBounding BoxClassification

Engineered a real‑time computer‑vision system enabling a robot to interactively play Shut‑the‑Box with humans. Enhanced decision‑making accuracy using YOLOv8 for dice/tile detection, achieving high‑confidence predictions while maintaining smooth gameplay. Designed a responsive GUI (1080×720) to display detection overlays, improving user interaction and engagement.

Engineered a real‑time computer‑vision system enabling a robot to interactively play Shut‑the‑Box with humans. Enhanced decision‑making accuracy using YOLOv8 for dice/tile detection, achieving high‑confidence predictions while maintaining smooth gameplay. Designed a responsive GUI (1080×720) to display detection overlays, improving user interaction and engagement.

2025 - 2025

Education

Work History