Image dataset cleaning service

Clean Your Image Dataset Fast

Share a Google Drive, Dropbox, OneDrive, or similar folder link with support@dataginai.com. DataGin AI cleans the dataset and sends back a cleaned package plus report.

1-3 days typical turnaround
$50 starting price
Local-first processing workflow
Industrial AI vision inspection line

Why it matters

Bad image sets waste training cycles.

Blurry files, duplicates, wrong classes, irrelevant images, and low-signal samples can quietly damage model performance. The first win is not another model. It is a cleaner dataset.

How it works

Send a link. Get back a cleaner dataset.

01

Share your dataset link

Send a Google Drive, Dropbox, OneDrive, or similar folder link to support@dataginai.com.

02

We run the cleanup

Your image set is processed through DataGin AI's local dataset intelligence tools and spot-checked for practical cleanup quality.

03

You get the cleaned package

Receive clean, rejected, and needs-review folders plus a CSV report and short summary.

Cleanup targets

What we flag and separate.

Low-quality images

Blurry, dark, tiny, corrupt, or unusable files.

Duplicates

Duplicate and near-duplicate images that inflate the dataset.

Off-topic files

Images that do not match the intended class, product, defect, or scene.

Label issues

Obvious class-folder or label inconsistencies that need review.

Review candidates

Borderline examples separated for human decision instead of silent deletion.

Dataset summary

A practical report showing what was cleaned, rejected, and flagged.

Deliverables

Simple output you can inspect.

clean/ rejected/ needs_review/ dataset_report.csv summary_report.md

Pricing

Simple pricing by image count.

Typical turnaround is 1-3 business days depending on dataset size and access speed.

Starter Clean

Up to 5,000 images

$50

Large Clean

10,001+ images

$85 + $10 per extra 1,000

Image counts over 10,000 are rounded up to the next 1,000-image block. Large or unusual datasets may require review before acceptance.

How to send your dataset

Email the share link.

Make sure the folder link allows access. If using Google Drive, set sharing to "Anyone with the link can view" or explicitly share the folder with support@dataginai.com.

Email support@dataginai.com with:

  • Dataset share link
  • Approximate image count
  • Class or label structure, if any
  • What you want removed or flagged
  • Deadline, if any
Start Cleanup Request

Need more later?

Add-on services stay secondary.

Annotation cleanup Mask review Dataset optimization Model training prep

Privacy and acceptance notes.

Your dataset is processed locally. We do not use your images to train public models.

No sensitive personal data, medical records, explicit content, or illegal material accepted.