“Thanks to your support, we were able to collect high-quality data for our project. Working with you has made a significant difference in this regard. The data was excellent, the annotation was perfect, and our project has been a great success as a result.”

About Artificialy

Artificialy is a Swiss company specializing in artificial intelligence. The company brings together outstanding data scientists and engineers to provide tailored AI solutions for businesses and institutions. From consulting to bespoke end-to-end AI solutions, Artificialy is committed to enhancing clients' processes, products, data, and decisions.

Artificialy focuses on developing practical AI solutions across various fields, including driver monitoring systems, smart cities, people tracking, and industrial applications. Their solutions emphasize robustness and effectiveness in diverse scenarios, ensuring that AI can handle noise, variability, and unpredictability in real-world environments, delivering reliable performance.

Challenges in Data Annotation for Efficient Object Detection in Smart City Solutions

In their smart city solutions, Artificialy needs to create an efficient version of the YOLOv7 object detection model and deploy it on the low-computation Sony IMX500 processor. This setup provides high-performance detection while minimizing power consumption, making it ideal for real-time processing in urban areas. However, training high-precision AI models for smart city solutions requires a substantial amount of high-quality annotated image data, and Artificialy faces several important demands and challenges in this process.

First, a large volume of high-quality annotated data is crucial, as accurate annotations directly impact the model's accuracy in real-world applications. The data must cover diverse scenes and environments, including day and night conditions, as well as various weather scenarios, to ensure the model's robustness under different conditions. Additionally, the training timeline for the model is very tight, requiring an efficient annotation process to meet deadlines. In summary, Artificialy must not only ensure the quality and diversity of the data but also complete a large amount of work within a limited timeframe to meet the high standards required for smart city solutions.

BasicAI's Advanced Data Annotation: Precision, Efficiency, and Unmatched Quality

To meet the urgent demand for large volumes of high-quality, diverse data, Artificialy required professional data annotation services. After researching and testing various AI tools and conducting extensive market research, they selected BasicAI's image annotation services.

BasicAI's drone data collection methods provided a diverse range of high-resolution images, meeting Artificialy's need for comprehensive and multi-perspective data.

More importantly, through their professional AI data annotation platform, BasicAI Cloud*, they efficiently and accurately annotated various objects such as bicycles, cars, motorcycles, buses, trucks, parking signs, electric scooters, and pedestrians. They also labeled different weather conditions and times of day, especially at night, all using the bounding box annotation tools required for Artificialy's project. This tool, combined with AI-assisted features and a human-in-the-loop approach, significantly improved the speed and accuracy of annotators during the annotation process, enabling them to handle large volumes of data efficiently.

* To further enhance data security, we discontinue the Cloud version of our data annotation platform since 31st October 2024. Please contact us for a customized private deployment plan that meets your data annotation goals while prioritizing data security.

BasicAI also established standardized and professional annotation workflows to accommodate Artificialy’s tight deadlines, ensuring the completion of all data annotation tasks within the specified timeframe while maintaining consistent in quality. Moreover, BasicAI implements a robust quality assurance system with multi-stage quality checks, guaranteeing the highest level of accuracy and consistency in the annotations.

By outsourcing image annotation to BasicAI, Artificialy could leverage the precisely annotated data to effectively train deep learning models for high-performance object detection.

Exceptional Achievements in Solution Delivery

BasicAI demonstrated exceptional responsiveness and professionalism, swiftly delivering a large volume of high-quality annotated data. This efficient service enabled Artificialy to meet project deadlines and deploy object detection models promptly.

The accurate and consistent annotations significantly enhanced the training quality, improving model accuracy, reliability, and accelerating iteration cycles. Consequently, Artificialy could rapidly build and deploy robust computer vision solutions. Reduced delivery time allowed them to take on more projects without increasing overhead costs, enabling swift responses to market demands while enhancing operational efficiency.

Partnership Value and Future Opportunities

The collaboration with BasicAI has not only provided critical support for Artificialy's current project success but also created more opportunities for future collaborations. BasicAI's exceptional quality, responsiveness, and competitive data labeling service price have allowed Artificialy to obtain high-quality annotated data consistently while controlling costs. This high-value service has made Artificialy more competitive in future projects, allowing it to expand its business scope further. Moving forward, Artificialy plans to deepen its cooperation with BasicAI, leveraging its cost-effective data labeling services to drive the development and innovation of its customized AI solutions for global clients.