Features
Image annotation: bounding boxes, polygons, masks, keypoints, skeletons
Video annotation: object tracking across frames, skeleton tracking
3D point cloud annotation: object detection and tracking
AI-assisted labeling with SAM 2, SAM 3, Ultralytics, Hugging Face models
Manual annotation tools for detection, segmentation, pose estimation
Project management with roles, permissions, task assignment
Quality control: ground truth jobs, honeypots, consensus workflows
Analytics: dashboards for progress, workload, throughput
Export in 20+ formats including COCO, YOLO, KITTI, Cityscapes
Import from local files, Amazon S3, Azure Blob, Google Cloud Storage
Automation via API, SDK, CLI, webhooks
Multi-stage QA with rework guarantees (managed service)
SSO, RBAC, audit logs (Enterprise)
GDPR, CCPA, EU AI Act compliance
On-premises and air-gapped deployment (Enterprise)
Solar-powered rover with controlled illumination
Per-plant high-resolution imaging across growing season
AI-powered pest, weed, and disease detection per plant
Real-time plant growth monitoring
Automated yield forecasting from imagery and environmental data
Crop phenotyping via computer vision (leaf size, biomass)
Quality inspection for fruits and vegetables
Food waste reduction analytics
Integration of satellite, weather, and soil data layers
Multi-angle image capture with controlled rolling speeds
Machine learning to identify plant-environment interaction patterns
Data collection in muddy fields and bright sunlight
Terabyte-scale image datasets per field
Controlled rolling speeds and sophisticated sensors
