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I will label and annotate images for your computer vision dataset

Fast 24 h delivery Budget-friendly price
I will label and annotate images for your computer vision dataset
I will label and annotate images for your computer vision dataset
I will label and annotate images for your computer vision dataset

About this taskbit

Label and annotate images for your computer vision dataset — prepared by micraa AI Studio. This service is produced with AI tools and checked by hand against your brief, so you get a clear, ready-to-use result fast and at a fair price. It is ideal for data labeling & annotation needs in Trending. What I need from you: - Images - Label classes - Annotation format

Language: English

About the seller

Magic Line
Member since Nov 2026 · ⏱ New on-time record
✦New
—Avg. response
0Orders completed
—Repeat buyers
New0 reviews

AI-powered studio: orders are made with AI tools and checked before delivery.

Compare packages

Basic
$18.99
Standard
$48.99
Premium
$112.99
Delivery24 h2 days5 days
Revisions123
What’s included
✓ Up to 200 images with bounding boxes
✓ Everything in Basic
✓ Up to 600 images
✓ Quality review pass
✓ Everything in Standard
✓ Up to 1,500 images
✓ Polygon or segmentation masks
✓ Priority handling

No buyer fees: you pay the price shown, at standard speed.

FAQ

Is this made with AI?

Yes. micraa AI Studio uses AI tools to produce the work from your brief, then reviews it for accuracy and quality before delivery.

What should I send to get started?

Please answer the requirement questions: images, label classes, annotation format. The more detail you share, the better the result.

What is the difference between the packages?

Basic covers up to 200 images with bounding boxes. Standard adds up to 600 images, quality review pass. Premium adds up to 1,500 images, polygon or segmentation masks with priority handling. Basic includes 1 revision, Standard 2 and Premium 3.

What I need from you

Have these ready. You can send them in chat after you order.

  1. Please share: images (required)
  2. Please share: label classes (required)
  3. Please share: annotation format
  4. Preferred tone or style
    Professional · Friendly · Bold · Minimal

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