Human-powered pixel-level image segmentation and annotation by API.
Scale turns your unannotated images into annotated images with bounding boxes around objects of interest.
Our tools and workforce are trained to assign semantic labels such as “road”, “car”, “sky”, or “person” to power the future of autonomous vehicles.
Careful segmentation teaches drones to navigate around rooftops, trees and birds.
Computer vision enables robotics to tackle new horizons in manufacturing, energy and health-care.
Send image or sensor data through our simple API and receive segmented and labeled ground truth data.
client.createSegmentannotationTask({
instruction: 'Please segment by vehicles, pedestrians,
bikes, roads, road markings, background and obstacles
in each image.',
attachment: 'http://i.imgur.com/XOJbalC.jpg',
labels: ['vehicle', 'background', 'road', 'vegetation',
'lane marking']
}, (err, task) => {
// do something with task
});
Our APIs accept sequences of temporally linked frames, allowing us to produce 3D tracks for detected objects. Use this data to train your perception models.
We support a large and growing number of labels for 3D labeling, from cars and cyclists to construction cones and animals. Leverage our expertise.
We provide simple interfaces to send over LIDAR, camera, and radar to provide a comprehensive 3D scene. We aim to be the one interface for 3D perception.
We apply machine learning in a multitude of ways to make our workforce more efficient and ensure impeccable quality and accuracy.
Each customer is paired with a dedicated customer success engineer who ensures smooth integration and service.
We process millions of tasks each month and are built to rapidly scale up and down to meet your requirements.
Get started today with on-demand, or chat with us about an enterprise plan.
Enterprise-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 manager 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 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 rigorous quality areas for each annotation.
We already support machine learning for some of the biggest autonomous vehicle and computer vision companies in the world.