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Maximize your efficiency and quality with our reliable Data Annotation for Manufacturing AI.

Our annotation services can help your manufacturing AI by providing accurate and high-quality annotated data to train your machine learning models. We can annotate various types of data such as images, videos, and sensor data to enable your AI models to detect defects, track inventory, and optimize production processes. With our expertise in data annotation and machine learning, we can help you unlock the full potential of your manufacturing AI and improve your operational efficiency.

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Data Annotation in Manufacturing AI Use Cases

Automated Product & Packaging Inspection

Vision AI models for product and packaging analysis detect even the most minute defects to meet quality standards and adhere to compliance requirements.TagX delivers high-quality labels to help accurately and quickly identify functional flaws, defects, or contaminants at scale. Advanced annotation help to accurately detect and classify product labels and packaging to improve throughput and minimize the risk of recall.

Precision Counting & Tracking

Custom object detection models for counting, monitoring, and tracking provide more accurate counts and greater visibility of items and processes throughout the full production cycle. TagX performs accurate annotation to train object detection models by labeling the raw materials at the manufacturing sight, the manufactured products, and other stock required for production.

Productivity Monitoring

Models can be trained to detect when a worker is at risk and alert supervisors to take action. It can also be used to automate the tracking of the number and types of workers on worksites at any time. TagX can perform data annotation to label videos or images of workers, identifying attributes such as a worker's position or movement, to train models for workers detection

Defect Detection

Data annotation can involve labeling images or videos of manufactured products to identify defects or anomalies. These labels can be used to train machine learning models to recognize different types of defects and classify them based on severity. This can lead to faster and more accurate identification of defects, reducing the amount of time and resources required for manual inspections. Data annotation can also help in identifying defects that are difficult for human inspectors to detect. With the help of AI models trained on annotated data, manufacturers can identify and classify subtle defects that may go unnoticed during manual inspections.

Types of Annotation

With Tagx, your AI applications will recognize and identify objects at unmatched speed, improving your models predictions and confidence levels. We understand that different AI use cases require different types of data annotation to achieve optimal performance. TagX offers a wide range of annotation services for image, text, audio, and video data, as well as 3D point cloud and LiDAR annotation. We pride ourselves on delivering high-quality annotations with precision and accuracy to ensure that your AI models can perform at their best. Whatever your use case may be, you can count on us to provide the right type of annotation to meet your specific needs.

Bounding Box Annotation
Polygon Annotation
Polyline Annotation
3D Cuboids
Semantic Segmentation
Point Annotation
Video Annotation

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