Dennis Nzioki

Key Skills

Software

Remotasks

Appen

Top Subject Matter

Object detection and classification in images

Video object tracking and behavior annotation

Custom dataset creation for object detection

Top Data Types

Image

Video

Text

Document

Top Task Types

Bounding Box

Tracking

Action Recognition

Freelancer Overview

AI Data Annotator. Core strengths include Remotasks, Appen, and N. Education includes Bachelor of Arts, N/A (2023). AI-training focus includes data types such as Image and Video and labeling workflows including Bounding Box, Tracking, and Action Recognition.

Labeling Experience

AI Data Annotator

RemotasksImageBounding Box

As an AI Data Annotator at Remotasks, I contributed to image dataset labeling for object detection and classification. I utilized tools such as CVAT, Labelbox, and Supervisely to create bounding boxes, polygons, and segmentation masks. I consistently maintained high annotation accuracy and followed detailed project guidelines throughout my work. • Annotated over 60,000 images for object detection and classification projects • Created bounding boxes, polygons, and segmentation masks for vehicles, people, and retail items • Conducted quality review of team annotations • Ensured high accuracy while adapting to updated guidelines

As an AI Data Annotator at Remotasks, I contributed to image dataset labeling for object detection and classification. I utilized tools such as CVAT, Labelbox, and Supervisely to create bounding boxes, polygons, and segmentation masks. I consistently maintained high annotation accuracy and followed detailed project guidelines throughout my work. • Annotated over 60,000 images for object detection and classification projects • Created bounding boxes, polygons, and segmentation masks for vehicles, people, and retail items • Conducted quality review of team annotations • Ensured high accuracy while adapting to updated guidelines

2024 - Present

Video Annotation Specialist

AppenVideoTracking

As a Video Annotation Specialist at Appen, I labeled and tracked objects in video frames for AI training datasets. My responsibilities included annotating events, monitoring object movements, and ensuring consistency across video sequences. I worked with annotation software such as CVAT and followed feedback-driven changes to guidelines. • Labeled and tracked objects across video frames for AI training • Annotated events and behavioral actions in sequences • Ensured frame-by-frame consistency and accuracy • Flagged unclear data and contributed to instruction improvements

As a Video Annotation Specialist at Appen, I labeled and tracked objects in video frames for AI training datasets. My responsibilities included annotating events, monitoring object movements, and ensuring consistency across video sequences. I worked with annotation software such as CVAT and followed feedback-driven changes to guidelines. • Labeled and tracked objects across video frames for AI training • Annotated events and behavioral actions in sequences • Ensured frame-by-frame consistency and accuracy • Flagged unclear data and contributed to instruction improvements

2023 - 2023

Video Event Tagging Project

VideoAction Recognition

In the Video Event Tagging Project, I annotated short video clips for activity recognition tasks. I tagged keyframes and transitions to support time-series and temporal AI models. My focus remained on precision across all frame sequences. • Annotated video clips for activity recognition tasks • Tagged keyframes and temporal transitions • Ensured accurate labeling of events in sequences • Supported models designed for temporal analysis

In the Video Event Tagging Project, I annotated short video clips for activity recognition tasks. I tagged keyframes and transitions to support time-series and temporal AI models. My focus remained on precision across all frame sequences. • Annotated video clips for activity recognition tasks • Tagged keyframes and temporal transitions • Ensured accurate labeling of events in sequences • Supported models designed for temporal analysis

Not specified

Custom Image Dataset Project

ImageBounding Box

In my Custom Image Dataset Project, I built and annotated a dataset of over 10,000 images for object detection. The labeling work included applying bounding boxes and segmentation masks for multiple classes. Consistent labeling helped improve the overall model accuracy. • Built and labeled custom image dataset for object detection • Applied bounding boxes and segmentation masks across categories • Maintained high label quality and data cleanliness • Focused on consistent annotation for model reliability

In my Custom Image Dataset Project, I built and annotated a dataset of over 10,000 images for object detection. The labeling work included applying bounding boxes and segmentation masks for multiple classes. Consistent labeling helped improve the overall model accuracy. • Built and labeled custom image dataset for object detection • Applied bounding boxes and segmentation masks across categories • Maintained high label quality and data cleanliness • Focused on consistent annotation for model reliability

Not specified

Education

Work History