How to Use Roboflow Batch Processing on Images Stored in Google Cloud Storage (GCS)
Blog post from Roboflow
Roboflow Batch Processing allows users to analyze and transform large image datasets stored in Google Cloud Storage (GCS) without the need for managing servers or GPUs, offering a pay-per-credit model for image processing at scale. By directly integrating GCS with Roboflow, organizations can automate large-scale inference jobs through a series of steps: generating signed URLs for image assets using the gcloud CLI, using Roboflow’s CLI to stage images for batch processing, triggering workflows for processing once ingestion is complete, and exporting the processed data. This method provides secure, automated pipelines for image analysis while reducing infrastructure overhead, and users can receive job completion notifications via webhooks.
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