Scale generates high quality datasets for all data labeling needs.
Sophisticated tooling and rigorous QA processes for a wide variety of manufacturing use cases. Simply send requests to our REST API for impeccable training data.
Explore Our Docsclient.createLidarAnnotationTask({
'instruction': 'Please label all cars, pedestrians, and
cyclists in each frame.',
'labels': ['car', 'pedestrian', 'cyclist'],
'meters_per_unit': 2.3,
'max_distance_meters': 30
}, (err, task) => {
// do something with task
});
We have built out sophisticated quality assurance processes with in-house specialists to ensure we only produce quality results even at large scales.
We apply machine learning in a multitude of ways to make our workforce more efficient and ensure impeccable quality and accuracy.
We process millions of images a month and are built to rapidly scale up and down to meet your requirements.
Built by machine learning engineers for machine learning engineers, our rich set of tools can handle a wide range of labeling requirements.
Pay on-demand per task or chat with us about an Enterprise Plan.
Contact SalesEnterprise-grade SLAs include task completion times and tasks can be rapidly scaled up or down to meet your needs.
Each enterprise customer is paired with a dedicated customer success engineer who will ensure smooth integration and continued service.
Enterprise engagements include upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale, there are no platform fees.
Industry leading quality datasets safe-guarded against ever-changing, messy, real-life driving data.
Our tasks are annotated by trained and qualified workers with additional layers of both human, data and machine learning driven quality control checks.
The resulting accuracy is consistently much higher than what a human or synthetic labeling approach can achieve independently, as measured against seven rigorous quality areas for each annotation.
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