How It Works

You describe the scenario. We generate the data. Your model trains on it.

From scoping to delivery in under a week. No data collection, no labeling overhead, no compromises on quality.

Synthetic Image Dataset

AnywayLabs.ai

10K+ imagesauto-annotated

Real DataYOU

Small real-world holdout for validation

Custom AI Model Finetuning

mAP loss

0.973

mAP@0.5

0.912

Precision

Deploy to Vision AIYOU

Production-ready models for edge deployment

Configure your dataset in 5 minutes and walk away with a shareable spec card.

SAMPLE OUTPUT

What the Synthetic Data Looks Like

Every image ships with pixel-accurate bounding boxes and segmentation masks. Annotations are generated alongside the image — no manual labeling required.

YOLO v8COCO JSONPascal VOCSegmentation Masks

THE PROCESS

Four Steps from Concept to Training Data

Each dataset ships fully annotated, validated on real-world data, and ready for your pipeline.

Scope

You~30 minutes

Define classes and edge cases via the guided wizard
Upload reference images or just describe the scenario
Volume, conditions, and angles dialed in under 5 minutes

Anydomain

< 5 minavg. config time

Generate

AnywayLabs.ai3–5 days

Photorealistic frames with pixel-accurate bounding boxes
Annotations auto-generated alongside each image
Tailored to your angles, lighting, and edge cases

Custombatch size

100%auto-annotated

Validate

AnywayLabs.aiIncluded

Baseline detector trained on your synthetic data
Validated against a real-world holdout
mAP, precision, and recall report delivered with dataset

mAP@0.5

0.764100% synthetic

0.97310% real mix

Deliver

AnywayLabs.aiSame day

YOLO or COCO-format zip, ready to plug in
Annotations, splits, and metadata included
No reformatting before training

Anyexport format

~1 weekavg. delivery

THE COMPARISON

Data Generation instead of Data Collection.

Traditional data pipelines are slow, expensive, and can't cover the long tail of edge cases your model will face in production.

20xFaster CV Workflows

	Real Data	AnywayLabs.ai	Advantage
Time to Dataset	6–12 weeks	3–5 days	20x
Annotation Effort	Manual labeling team	Auto-generated	0 hrs
Rare Scenario Coverage	Limited by collection	Unlimited permutations	∞
Annotations	Manual, error-prone	Pixel-accurate, auto-generated alongside each frame	Auto
Iteration Speed	Weeks per revision	Days per revision	5–10x

Ready to Build Your Dataset?

Configure your dataset in 5 minutes and walk away with a shareable spec card. Define classes, scenarios, and edge cases — we handle the rest.

Configure Your Dataset →