Unlock the full potential of your point cloud and camera data with Segments.ai data labeling platform
Label your camera images smart and efficiently with ML-assisted features and smart sequences.
Label your data with bounding boxes, segmentation, keypoints, polygons and polylines
Discover the most intuitive platform for machine learning engineers to create smart workflows and annotate LiDAR and other point cloud data with powerful features.
Uploading your 2D and 3D data, accelerate your labeling workflow, achieve greater efficiency and ensure unparalleled consistency.
from segments import SegmentsClient client = SegmentsClient("api_key") dataset = client.add_dataset( "dataset_name", task_type, task_attributes ) sample = client.add_sample( "user/dataset_name", "sample_name", attributes )
Integrate data labeling into your existing ML pipelines and workflows using our simple yet powerful Python SDK.
Upload data, download labels, and manage datasets programmatically
Automatically trigger actions using webhooks
Onboard your own workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together.
Onboard an external workforce from our labeling service partners
Implement active learning by using your model predictions to find failure cases and to speed up labeling.
Label images and point clouds on Segments.ai
Train a model and keep it on your side. Only upload model predictions