DeeLab Portfolio
DeeLab specialises in data annotation to power AI and machine learning applications. Our skilled team of annotators has contributed to a wide range of projects.
This portfolio showcases the range of data annotation projects our team and contributor network have worked on, across industries including healthcare, retail, automotive, logistics, and media. While some projects were delivered directly by DeeLab, others represent the experience of annotators currently in our workforce.
Together, these examples reflect the skills, consistency, and attention to detail our team brings to every annotation task—whether it involves images, video, audio, text, or structured data.
Projects
3D Segmentation
Company: Autonomous Vehicle Company
Annotators from our current team contributed to a large-scale 3D segmentation project involving 45,000 city scene images for an autonomous vehicle company. The labeling included vehicles, pedestrians, buildings, road signs, and other essential features required for training perception models. The work demanded consistent precision to accurately reflect complex urban environments. Our contributors gained valuable experience through structured workflows and review processes that supported the client’s AI development for safer autonomous navigation.
Article Classification
Company: Media & Publishing
Annotators in our talent pool have supported content moderation projects by classifying articles from various media sources. The work involved tagging content based on editorial guidelines to assess suitability for publication. Contributors were expected to balance speed and accuracy while meeting high-volume targets. The data supported quality control in digital publishing workflows.
Audio Annotation
Company: Retailer Store (Baby Sounds)
Duration: 5 months
Workforce: 4 annotators
DeeLab labeled 100 hours of audio data focusing on baby sounds, including cries, snoring, and other vocalizations. The data was prepared to support the client’s machine learning initiatives for product development and sound detection. Our annotators followed strict labeling guidelines to ensure reliability. The project was completed over 5 months with multi-stage reviews to maintain quality.
Company: Healthcare Facility (Bowel Sounds)
Duration: 2 months
Workforce: 5 annotators
We annotated 50 hours of medical audio focused on bowel sounds for a healthcare facility. The data was used to support AI research in gastrointestinal diagnostics. Our team applied clear labeling instructions to identify different sound patterns. Quality was ensured through structured internal reviews throughout the project.
Data Entry / Bookkeeping
Company: Grocery Store
Members of our current workforce have contributed to data entry and bookkeeping tasks for a grocery store, focusing on customer payment records. Their responsibilities included inputting daily transactions, reconciling records, and ensuring alignment with payment receipts. The work supported accurate financial tracking and reporting through consistent, detail-oriented updates.
Image Labeling
Company: Shipping Company
Annotators within our network have contributed to image labeling tasks for a shipping company, focusing on bounding boxes and text capture from consignment images. The project operated under tight deadlines to support the automation of consignment tracking. Contributors balanced speed and accuracy to deliver data that improved logistics workflows and operational visibility.
Roof Annotation
Company: Architectural Company
Annotators in our network have contributed to a project involving the polygon-based annotation of 1,600 aerial roof images for an architectural firm. The annotations supported structural analysis for planning and design purposes. Contributors followed consistent labeling guidelines to meet geometric accuracy standards, with regular review cycles to ensure data precision.
User Review Classification
Company: Private Group
Annotators from our current network have contributed to projects involving the classification of customer reviews for a beauty products company. The task focused on identifying sentiment—positive, neutral, or negative—based on predefined criteria. Their work supported sentiment analysis efforts aimed at improving customer satisfaction insights, with consistency maintained through regular quality checks.
Video Labeling
Company: Retail Store
Annotators currently in our network participated in a video labeling project for a major retail client. The work involved tracking customer movements and identifying items picked from shelves by drawing bounding boxes and maintaining object consistency across video frames. This data supported behavioral analysis and store layout optimization. The project spanned six months and required a disciplined, detail-oriented approach within a structured review workflow.
Training & Certification
Data Annotation Training
Company: BPO Company
Duration: 2 months
Workforce: 4 trainers
We trained 20 individuals from a BPO company on data annotation practices. The program covered image, video labeling, and semantic segmentation and 3D lidar labeling, with a focus on quality control. Participants gained hands-on experience through practical exercises and feedback sessions.
Image Labeling Essentials
Duration: 1 week
Workforce: 4 trainers
We provided a 1-week image annotation training for 7 individuals. The program focused on bounding boxes, keypoints and polygon labeling techniques with practical assignments. Trainees were equipped with the basics needed to begin working on annotation tasks.
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