Diallo Boubacar

Key Skills

Software

CVAT

Google Cloud Vertex AI

Labelbox

LabelImg

Label Studio

OpenCV AI Kit (OAK)

Roboflow

SuperAnnotate

Supervisely

Top Subject Matter

"Self driving Car", "Precision Agriculture", "LLM and Robotics"

"Weed detection"

"Robotics task by LLM"

"Weed detection", "Tampering images"

Top Data Types

3D Sensor

Image

Text

Top Task Types

Classification

Data Collection

Fine Tuning

Object Detection

Segmentation

Freelancer Overview

After completing my thesis, I became a Senior Research and Development Engineer specializing in AI at Exxact Robotics in 2021, focusing particularly on the precision agriculture sector. Since then, I have worked on advanced technical topics and participated in implementing several AI-related concepts within Exxact, including: Setting up an AI pipeline for training, metrics, etc. Supervising the collection and annotation of agricultural images Setting up a production pipeline in C++ to run models in production etc... I have gained experience in data labeling, playing a critical role in ensuring the quality and accuracy of training datasets. This involved designing labeling guidelines, training annotators, and implementing quality control measures to maintain data integrity, which is crucial for developing robust AI models. References : https://scholar.google.fr/citations?hl=fr&user=u2yppEsAAAAJ&view_op=list_works&sortby=pubdate

Labeling Experience

Detection of clusters and stems on vines

SuperviselyImageBounding Box

Project: Detection of clusters and stems on vines - Designing labeling guidelines - Training annotators - Annotate arround 1000 images - Quality control measures to maintain data integrity - Split dataset on Train, Val and Test - Train and fine-tune robust AI models

Project: Detection of clusters and stems on vines - Designing labeling guidelines - Training annotators - Annotate arround 1000 images - Quality control measures to maintain data integrity - Split dataset on Train, Val and Test - Train and fine-tune robust AI models

2022

Semantic segmentation on agricultural image

SuperviselyImageBounding BoxSegmentation

Projet : Weed detection by camera on tractor - Designing labeling guidelines - Training annotators - Annotate arround 1000 images - Quality control measures to maintain data integrity - Split dataset on Train, Val and Test - Train and fine-tune robust AI models

Projet : Weed detection by camera on tractor - Designing labeling guidelines - Training annotators - Annotate arround 1000 images - Quality control measures to maintain data integrity - Split dataset on Train, Val and Test - Train and fine-tune robust AI models

2021

Education

Work History