Support batch file upload & processing (apply algorithms to multiple images)

[Marek55S]

Summary

Add support for uploading multiple image files at once and applying selected algorithms to the entire batch. Users should be able to select or drag-and-drop several files, enqueue them for processing, and run a chosen algorithm (or pipeline) across the batch with progress and per-file results.

Why

• Useful for high-throughput analysis and QA workflows.
• Saves time when testing algorithms across many images.
• Enables consistent batch preprocessing for downstream analysis.

Requirements

• UI to select multiple files (file input multiple attribute and drag-and-drop support).
• A processing queue that applies chosen algorithms to files serially or concurrently (configurable concurrency limit).
• Progress indicators per file and overall, with success/failure status.
• Ability to download or export processed results.
• Preserve existing single-file flow and previews when a single file is selected.

UX suggestions

• Show a list/grid of thumbnails for the selected files with checkboxes to include/exclude files from the batch run.
• Allow users to choose algorithm settings before starting the batch.
• Display a progress bar and per-file spinner/status; allow canceling the batch.

Edge cases

• Mixed file types: skip unsupported files with an error message.
• Errors during per-file processing should not halt the entire batch — mark as failed and continue.
• Very large batches should stream results or allow saving incrementally.

Acceptance criteria

• Users can select multiple files and run an algorithm on all of them.
• Progress is visible and partial failures handled gracefully.
• Processed results are available for download per-file.