From enhancing flight safety to optimizing air traffic management, we ensure your ML projects are supplied with high-quality annotations for aviation.
contact usIn the aviation industry, machine learning projects encompass a wide range of applications, including aircraft maintenance prediction, anomaly detection, flight route optimization, or passenger sentiment analysis. We at Label Your Data make sure that your projects succeed by delivering high-quality annotated data for your model training needs.
Our annotations help ML algorithms recognize and classify crucial elements in images and videos, such as engine components, runway conditions, or passenger emotions, with utmost accuracy. This, in turn, enhances predictive accuracy, safety, and operational efficiency of your data-driven solutions. Given the industry’s stringent safety and reliability standards, the Label Your Data team guarantees your data is in safe hands as we are compliant with PCI DSS level 1 and ISO:27001 standards.
At Label Your Data, we can deliver all types of data annotation services for the aviation industry to meet the specific needs of this narrow niche. Our skilled annotators can handle both visual and textual data, making us a trusted partner for aviation data annotation projects in both computer vision and NLP.
We offer precise data annotation solutions for aviation:
This includes accurately delineating objects in the airport’s CCTV footage, such as aircraft, vehicles, and baggage, enabling your ML models to be used for improved security and operational efficiency.
For advanced aviation technologies like automated flight systems, we annotate vital elements in videos, such as flight paths, aircraft parts, waypoints, and obstacles. This aids in the development and validation of autonomous systems, ensuring safer and more efficient flights.
Our services extend to NLP annotation, including audio transcription of interactions between pilots and operators. We ensure clear, verbatim transcriptions, enhancing communication analysis and safety procedures.
This includes accurately delineating objects in the airport’s CCTV footage, such as aircraft, vehicles, and baggage, enabling your ML models to be used for improved security and operational efficiency.
For advanced aviation technologies like automated flight systems, we annotate vital elements in videos, such as flight paths, aircraft parts, waypoints, and obstacles. This aids in the development and validation of autonomous systems, ensuring safer and more efficient flights.
Our services extend to NLP annotation, including audio transcription of interactions between pilots and operators. We ensure clear, verbatim transcriptions, enhancing communication analysis and safety procedures.
Expert annotators at Label Your Data provide precise and reliable training data, meeting the aviation industry’s rigorous standards, enhancing safety, and optimizing performance in aviation operations.
Our flexibility allows us to adapt seamlessly to different project sizes. Whether you require a small-scale undertaking or a large-scale endeavor, we can meet your project’s unique size requirements with efficiency.
We offer tailored solutions with customizable output formats and versatile tool usage for data exchange and annotation, ensuring that our data annotation services for aviation align perfectly with your specific needs and preferences.
Our company holds certifications for PCI DSS (level 1) and ISO:27001, and we adhere to the regulations outlined by GDPR, CCPA, and HIPAA. With 10+ years of experience and 500+ specialists on board, we provide customized data annotation services in aviation for enterprise and R&D projects in 55 languages.
We’re delivering high-precision polygonal annotations for CCTV footage captured at airports for our Canadian Client. Our approach is all about flexibility: with our on-demand model, they can send us anywhere from 100 to 10,000 annotations without any binding commitments. To prioritize data security, we’ve arranged for data exchange through the Client’s FTP server, ensuring their peace of mind.
For a US company, our annotators worked on an on-demand project where they transcribed audio recordings capturing dialogues between pilots and operators. Yet, a significant challenge stemmed from the poor audio quality. Our annotators had to possess a minimum of C1 English proficiency or be native speakers. Collaborating closely with the client, we successfully transcribed 97% of the data, while also highlighting specific data points for the client’s review where uncertainty arose.
For the development of an autonomous flight system, the Label Your Data team was tasked with polygonal and bounding box annotations on images and videos. The project called for a flexible, long-term collaboration due to the inconsistent data flow. Also, exceptional team size ranged from as few as 2 individuals to as many as 30, reflecting our commitment to meeting the client’s evolving needs.
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10 min read
More about supervised fine-tuningThe aviation industry leverages AI to enhance safety, efficiency, and passenger experience through applications like predictive maintenance, autonomous flight systems, and personalized services.
Data annotation in the aviation industry could involve labeling images and videos of runway conditions to train computer vision models for automated runway inspection systems. Or, perhaps, data labeling of customer feedback to train sentiment analysis models for assessing passenger satisfaction levels.
Machine learning projects in aviation use diverse data types, including aircraft sensor data, flight records, weather information, passenger data, and maintenance logs, among others.