CONTENT CREATION

Quality-gate background cutouts and route low-confidence shots to Slack review

Removes backgrounds on Dropbox drops, scores each cutout's edge quality, auto-publishes clean ones to R2.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew image in DropboxDropboxDropbox
  • ActionRemove background via ReplicateReplicateReplicate
  • LogicScore cutout edge quality vs threshold
  • ActionPublish passing cutouts to R2CloudflareCloudflare R2
  • OutputPost borderline cutouts to Slack reviewSlack

What it does

Adds a quality gate to background removal so bad cutouts never reach your storefront. After Replicate processes each Dropbox image, the workflow inspects the alpha mask for ragged edges or large holes. High-confidence results publish straight to R2; low-confidence ones get held back and sent to Slack with a preview for human judgment.

When to use it

Use it when product photos vary in lighting or background and automated cutouts occasionally fail on hair, glass, or reflective surfaces. This keeps the happy path fully automatic while putting a person in the loop only for the images that actually need it.

How it works

  1. 1A new Dropbox file starts the run.
  2. 2Replicate removes the background and returns the cutout plus its alpha mask.
  3. 3A scoring step measures mask coverage and edge cleanliness against a threshold.
  4. 4A branch sends passing images to R2 for immediate publishing.
  5. 5Failing images post to a Slack review channel with the preview and the source filename so an operator can approve or flag a reshoot.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect ReplicateImage, video, and model inference.
  3. 3
    Connect Cloudflare R2Object storage, S3-compatible.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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