Precision & Quality
Clear labeling guidelines and a review process help keep annotations consistent across your dataset.
Data annotation for ambitious AI teamsEvery pixel
Every pixel
matters to AI.
Image annotation services for computer vision teams. From bounding boxes to pixel-level labels, we help turn raw images into training data.
Human expertiseQuality-first processTailored workflows
ANNOTIFY / VISION STUDIO
● SAMPLE VIEW
FRAME_001 / RGBAnnotation layer ● VisibleIllustrative
Designed for computer vision workflowsOBJECT DETECTIONIMAGE SEGMENTATIONDATASET LABELINGHUMAN REVIEW
01 / About Annotify
Human expertise.
Better training data.
Annotify provides image annotation services for computer vision teams. We help turn raw images into structured training data through bounding boxes, polygons and semantic segmentation.
We work with you to define labeling guidelines, review requirements and delivery milestones, so the annotation process stays connected to your model's needs.
See how we workExpert Partnership
Work with an annotation team that understands your object classes, edge cases and project requirements.
Security & Reliability
Agree on data access, handling and confidentiality requirements before annotation work begins.
Timely Delivery
Define delivery milestones and review checkpoints around your dataset size and project timeline.
02 / Our capabilities
Image annotation,
built around your model.
Choose bounding boxes, polygons or semantic segmentation. We align the labeling guidelines, object classes and output requirements with your project.
2D Bounding Box Annotation
Draw rectangular boundaries around objects to train models to detect and locate them in images.
Explore this annotation
Polygon Annotation
Trace object outlines with detailed polygons when a rectangle cannot capture the shape you need.
Explore this annotation
Semantic Segmentation
Assign class labels to image pixels to distinguish regions such as roads, buildings and vegetation.
Explore this annotation03 / Annotation demo
From image
to insight.
Choose an annotation mode and move the divider to compare raw imagery with an illustrative annotation layer.
Illustrative demonstration. These overlays are not verified project annotations.
RAW IMAGEILLUSTRATIVE OVERLAY
Drag the divider or use the arrow keys to explore the annotation layer.
04 / Industries
Grounded in real-world
complexity.
From the road to the warehouse floor, help your models make sense of the environments that matter.
Label vehicles, pedestrians, lanes and traffic signs in road imagery to support object detection and driver-assistance models.
Annotate crops, plant regions and visible signs of disease in field or aerial images for crop monitoring and agricultural computer vision.
Label products and shelf imagery to build datasets for inventory monitoring, product detection and visual checkout systems.
Label packages, pallets and other warehouse objects for inventory tracking, package identification and visual navigation datasets.
05 / How projects work
Simpler collaboration.
Better training data.
A clear path from your first conversation to a dataset built around your requirements.
STEP 01 / DISCOVER
Share your goal
Tell us about your images, annotation classes, output requirements and project scale.
STEP 02 / ALIGN
Define the scope
Align on labeling guidelines, sample outputs, quality expectations and timelines.
STEP 03 / ANNOTATE
Produce & review
Label imagery to the agreed requirements, then review consistency and accuracy.
STEP 04 / DELIVER
Receive your data
Receive annotated outputs in the agreed formats with a clear project handover.
06 / Frequently asked questions
Frequently Asked Questions
Find answers to common questions about our data annotation services.
Contact our teamWhat is data annotation, and why is it important?
Data annotation adds labels to raw data so machine learning models can learn from examples. For computer vision, this includes marking object locations, tracing boundaries and assigning pixel-level classes within images.
Do you offer scalable annotation services?
We can discuss both initial datasets and larger annotation projects. Share your image volume, labeling requirements and target timeline so we can agree on a practical scope and delivery plan.
How much do your annotation services cost?
Pricing depends on the annotation type, image volume, object complexity and review requirements. A sample of your data and labeling guidelines helps us assess the work and discuss a project-specific quote.
07 / Contact us
Let's talk about
your next dataset.
Share your dataset, labeling requirements and timeline. Email us directly or start with a project enquiry.