Inside LabelOp
From your first label to your next training run.
Use local and zero-shot models, scale with managed cloud AI, and keep your team in control of the result.
01 / Annotate & automate
Click to segment. Describe to detect.
Create and refine annotations with click segmentation, similar-object search, zero-shot models, and local or managed cloud labeling.
Explore annotate & automate02 / Organize & understand
Know your dataset. Keep its history.
Organize project images, track labeling coverage, and compare saved annotation versions as your dataset evolves.
Explore organize & understand03 / Export
Your annotations. In your tools’ format.
Export annotations in COCO, YOLO, Pascal VOC, LabelMe, CVAT, CSV, TSV, or JSONL, and download project images as a dataset.
Explore export04 / Train
From labeled images to your next training run.
Connect your own Vast.ai account, compare GPU offers, and manage training jobs from LabelOp.
Explore train05 / Review together
AI suggests. Your team decides.
Invite your team, assign images, and keep review decisions attached to the annotation work.
Explore review together