Services
Every label type your
model needs.
Ten annotation disciplines, one way of working: a written guideline, a trained team, three review layers and a metric on every batch.
2D Bounding Boxes
Tight, consistent boxes for object detection, including occluded and truncated objects.
02Polygon Annotation
Vertex-accurate outlines for irregular objects where a box wastes half its pixels.
03Semantic & Instance Segmentation
Pixel-level masks: every pixel classed, every instance separated.
04Keypoint & Pose
Skeletons, landmarks and visibility flags for pose, gesture and face models.
053D Cuboids & LiDAR
Oriented 3D boxes in point clouds and camera frames, tracked across sequences.
06Polylines & Lanes
Lane markings, curbs, wires and edges traced as ordered lines.
07Video & Object Tracking
Frame-accurate tracks, events and actions across long footage.
08Medical Imaging
DICOM-native segmentation and classification, reviewed by clinical specialists.
09Text & NLP
Entities, intent, sentiment and relations, plus preference data for LLMs.
10Audio & Speech
Verbatim transcription, speaker diarisation and sound-event labels.
Delivery
Exported in your schema,
not ours.
Formats
- COCO
- YOLO
- Pascal VOC
- KITTI
- nuScenes
- GeoJSON
- DICOM SEG
- NIfTI
- JSONL
- CoNLL
- RTTM
- SRT
Platforms
- CVAT
- Label Studio
- Labelbox
- Encord
- V7 Darwin
- SuperAnnotate
- Supervisely
- Roboflow
- Segments.ai
- 3D Slicer
- Kili
- Custom tooling
Next step
Scope your project with
an annotation lead.
A 30-minute call with the person who would run your project. We review a sample of your data, recommend an approach and send a fixed-price proposal within two business days.