[2/3] Media preparation (two types) for anomaly detection (crops data set)

How it works

1. 1.Trigger the workflow manually and fetch media data from external sources using HTTP requests
2. 2.Process and clean raw data through custom code logic and variable assignment
3. 3.Split data by media type and merge into a unified format ready for anomaly detection analysis

Use cases

• Prepare diverse crop datasets with mixed media types (images and videos) before applying anomaly detection models
• Integrate data from multiple API endpoints and transform into standardized format for downstream processing

Requirements

• Valid HTTP access to endpoints containing the media data files and metadata
• Basic understanding of the data structure expected before and after transformation steps

Service Value

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