Pricing Models

Flexible engagement for pilots, growth stages, and full production

We price around annotation complexity, review depth, output format, and dataset volume so your quote matches the actual work.

Pricing engagement models

Pilot

Custom quote

Best for sample batches and small project

Managed Team

Monthly scope

Best for ongoing annotation

Enterprise QA

Custom SLA

Best for high-volume programs

What affects annotation price

  • Annotation type: boxes, polygons, masks, keypoints, tracking
  • Dataset size and class distribution
  • Quality assurance depth and reviewer layers
  • Turnaround speed and delivery schedule
  • Format requirements such as COCO, YOLO, JSON, or custom schema

Built for practical budgets

We work at an affordable price for both small and large datasets. That includes startup pilot batches, retraining datasets, relabeling projects, and ongoing managed annotation operations.

If your team needs a quote, we will scope it clearly and explain how pricing changes with complexity, QA, and delivery requirements.

AI and ML Network keeps pricing practical, transparent, and aligned to real dataset complexity. We work with both small and large annotation programs, and we scope around task difficulty, QA depth, turnaround, and delivery format instead of using vague packages.

If you need a quote for image annotation, video annotation, segmentation, relabeling, or dataset cleanup, go to the Contact page and send your dataset details.

Transparent Pricing

Affordable annotation pricing for small and large datasets

AI and ML Network is transparent about pricing. We scope clearly, price fairly, and support both early-stage AI teams and high-volume production programs without inflated agency overhead.