Ship Custom Datasets
in Minutes, Not Weeks

Synthetic data is artificially generated training data that mimics real-world images. It comes pre-labeled with pixel-perfect bounding boxes, masks, and polygons, eliminating manual annotation.

In many cases, yes. Our internal tests show hybrid approaches (synthetic + small real dataset) often outperform large manually-labeled datasets. Synthetic data provides perfect labels and unlimited variety, while real images add domain-specific nuance.

smar.tr generates labeled datasets in minutes instead of weeks. Internal tests show 90%+ mAP@50 accuracy, with hybrid approaches (synthetic + small manual dataset) often outperforming large manually-labeled datasets. Sometimes up to 95% in mAP@50.

smar.tr supports industry-standard formats including COCO and YOLO, with bounding boxes, segmentation masks, polygons and binary masks. More formats are being added during beta.

Yes. You can upload your own images and smar.tr will generate variations with different settings, defects, backgrounds, lighting, angles, and augmentations. All pre-labeled and ready to train.

Most personal use datasets cost $5-10 depending on size and complexity. Founding members get 40% off lifetime pricing. For commercial use, pricing scales with volume and features. The best case example on our site costs roughly $20-50.No enterprise contracts or sales calls or demo requests required. Fully self-service!

With smar.tr, you decide what you want to detect - describe or upload, preview and the platform generates synthetic images with pre-labeled YOLO annotations in minutes. No manual bounding box drawing required—export directly in YOLO format.

Synthetic data excels at object detection, defect detection, inventory counting, and any scenario where you need many labeled examples quickly. Industrial inspection, retail, medical imaging, and agricultural applications are common use cases.

Yes. You can create datasets with multiple labels and classes. Define as many objects as you need, and the generator will create complex scenes with multiple annotated objects per image.

It is up to you and your credit balance. There are generally no limits on the platform, allowing you to generate as many images as you need.

API access is currently in development and scheduled for release approximately three months after our public launch. This will enable developers to programmatically generate labeled datasets and integrate smar.tr directly into CI/CD and ML pipelines.

Not yet. We have successfully conducted internal proofs of concept for 3D generation with promising results, but the complexity requires additional infrastructure. We plan to introduce 3D capabilities as soon as possible following the stabilization of our core 2D features after the public launch.