Academia

Polygon Annotation for Palm Tree Detection in Aerial Imagery

Name: Data Annotation Service
Brand: Label Your Data
Rating: 4.9 (36 reviews)

Location:

Saudi Arabia

Services:

Polygon Annotation

Overview

King Abdullah University of Science and Technology (KAUST) partnered with Label Your Data to advance palm tree detection models using aerial imagery.

1 TIF aerial dataset annotated

17-day days delivery timeline

98%+ accuracy

Client

Saudi university applying AI to agricultural monitoring with aerial imagery.

Challenges

Overlapping canopies and irregular crowns made annotation slow and inconsistent.

Solutions

Polygon annotation with pilot validation and QA reviews for top-notch dataset quality.

Results

Dataset delivered with 98%+ accuracy, boosting model training efficiency.

Client

King Abdullah University of Science and Technology (KAUST) is a leading Saudi research university. The client needed annotated aerial imagery to train AI models capable of detecting palm trees for agricultural monitoring and environmental research projects.

Challenges

Large and complex aerial imagery required specialized tools

Inconsistent labels from external annotators slowed down cleaning

Manual filtering reduced research efficiency

Overlapping canopies and irregular crowns complicated labelin

Solution

Annotated a high-resolution TIF image in QGIS

Applied polygon annotation to mark palm trees across the dataset

Pilot phase: client reviewed the first 10% before scaling

A dedicated annotator ensured consistency and quality

Training

A single annotator was trained in QGIS using client-provided guidelines.

The pilot phase refined instructions through feedback loops,
ensuring alignment and accuracy before scaling to the full dataset.

Results

The project was delivered in 17 days with measurable outcomes:

98%+ accuracy, verified by the client

Dataset enabled successful palm tree detection model training

Generalized well across regions, improving research reliability

Researchers saved time by avoiding manual filtering

Aerial satellite image of agricultural fields with palm tree plantations, used to demonstrate results of palm tree detection and annotation for AI model training

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The collaboration with Label Your Data was seamless, allowing us to focus on palm tree detection model development instead of spending valuable time on meticulous manual labeling

PhD student of Computer
Science

Trusted by ML Professionals

Why AI Teams Choose Label Your Data

Data Annotation for Complex Environments

Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.

Structured Quality from Pilot to Production

Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.

Flexible and Scalable Operations

Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.

An Integrated Delivery Partner

Align on goals, workflows, and expectations with a team that integrates into your process from day one.

Projects Led by Annotation Experts

Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.