Prepare Multiple Media Types for Anomaly Detection in Datasets

How it works

1. 1.Receive manual request to initiate media processing workflow
2. 2.Fetch media data from external server using HTTP requests
3. 3.Process data with custom code to normalize different media types
4. 4.Split media into separate categories based on type
5. 5.Merge processed data into a unified data structure
6. 6.Output final dataset ready for anomaly detection analysis

Use cases

• Prepare crop field datasets before applying disease detection models
• Unify different media formats from diverse sensors and camera equipment
• Automatically batch-process large collections of images and video without manual intervention

Requirements

• Access to an external API endpoint that provides media data
• Programming knowledge to write custom data processing logic
• Sufficient storage capacity to handle large-scale datasets

Service Value

Ready-made workflow template for automation delivery and service execution.