01Service

Image annotation

Labels for computer vision models, from simple tags to pixel-level masks.

We label still images for detection, segmentation and classification models. Your label schema and edge-case rules are written into the guidelines before the pilot, so every annotator draws the same box the same way.

Request a Quote See it labeled

Annotation types: 5 types
Delivered as: COCO, YOLO, Pascal VOC or JSON
Quality levels: Attempt → Review → Final Review
Starts with: A paid pilot of 500–1,000 items

01Showcase

See it labeled.

Switch between label types on the same image.

gripperrobot_arm

02Annotation types

What we label.

Each type is defined in your guidelines before the pilot, with examples of the edge cases.

Tight rectangles around each object, with a class label and optional attributes such as occluded or truncated.

Point-by-point outlines for objects with irregular shapes, where a box would include too much background.

Named points on an object, such as joints on a person or grasp points on a part, in a fixed order.

Pixel masks by class, or a separate mask for every individual object.

One or more labels for the whole image, from a single tag to a multi-level taxonomy.

03What you receive

Labels your pipeline can load as-is.

Delivered as COCO, YOLO, Pascal VOC or JSON. Tell us your schema and we'll match it.

Labels in the format your pipeline already reads
A quality report per batch: accuracy on hidden test items against your target
Every task through Attempt, Review and Final Review
A 7-day window to accept each batch or raise a dispute

COCO JSONExample

{
  "image_id": 1042,
  "category_id": 3,
  "category": "gripper",
  "bbox": [412.0, 188.5, 236.0, 174.0],
  "attributes": { "occluded": false },
  "review": { "level": "final_review", "status": "approved" }
}

04Use cases

Where teams use it.

01
Product recognition
02
Defect detection
03
Robot picking and grasping
04
Medical imaging
05
Crop and plant health

05Quality

Every task passes three levels.

Only tasks approved at Final Review are paid to the annotator and delivered to you.

Level 1Annotator
Attempt
Labels the item to the project guidelines and label schema.
Level 2Reviewer
Review
Checks the work, then approves it, corrects it, or sends it back with a reason.
Level 3Final reviewer
Final Review
Signs the task off. Only finally approved tasks are paid and delivered.