Any complexity
Cost-effective
Accurate

Image annotation is our specialty

Fully Managed Service

SERVICE
High Quality
Flexibility
Pace
The project manager is always in touch with you. He clarifies edge cases and handles quality control. He is your man on our team.
We are able to perform necessary workflow adjustments and labeling-tool customization to fulfill even the most unique orders.
You have your schedule. We make sure that it is not disrupted due to a lack of training data. You develop your business; we take care of the data.
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Bounding boxes
Classification
Keypoints
Polygons
Lines
Semantic segmentation
Bounding box annotation
Bounding boxes
The most common type of data annotation. Bounding boxes are mainly intended to detect objects, delineating their borders with transparent rectangles. Bounding boxes are applied in almost all industries of the data labelling market.
Images classification
Classification
This method is used to determine the presence of an object in the image. A specific label is assigned to each image. Image tagging helps train AI to recognize objects' classes.
Keypoints annotation
Keypoints
This type of annotation uses dots across an image to identify an object or its details/parts. Keypoints are applied mostly with facial recognition, body parts, and postures.
Polygons annotation
Polygons
Polygons are used to determine an object's shape and location with maximum precision while avoiding additional noise. Polygon annotation is applied in almost all industries.
Lines annotation
Lines
Lines annotation is used for detecting and recognizing lanes. This type of annotation is applied mostly in the automotive industry to make self-driving cars safe.
Semantic segmentation
Semantic segmentation
A data labelling method where objects are delineated in the image at the pixel level, depending on class. It's called semantic segmentation because each pixel has semantic meaning. Segmentation is usually applied in the automotive industry.
Client Testimonials
Mehdi Mohseni
CEO and Founder at CellarEye, PhD.
I am very happy with the quality of the annotations delivered by the Tagias team. Our object annotation task was pretty complicated. However, we were able to efficiently communicate the requirements with the project manager, and with very few iterations, the team was able to deliver annotations to meet and exceed our expectations. Highly recommended.
Alexey Grigorev
Lead Data Scientist at OLX Group
Tagias helped me collect an open image dataset of clothes. We collected over 5,000 images, 60% of which (3,000) were contributed by Tagias. The Tagias team took the pictures, and I didn't need to worry about copyright violations. The internal validation process was helpful: only a couple of images weren't suitable.

Our Prices

Bounding boxes
per 1,000 boxes
$45
Polygons
per 1,000 polygons
$150
Keypoints
per 1,000 keypoints
$30
Lines
per 1,000 lines
$40
Classification
per 1,000 quotes
$30
Semantic segmentation
per 1,000 images
$350

Data security

2.9. The data sent by the Customer to TAGIAS.com is used only for the purpose of completing the Assignment from the Customer. TAGIAS.com never stores on its servers the data provided by the Customer under the Assignment.
Data safety is one of our priorities. Tagias never keeps or distributes the datasets you send us for labeling. If requested we will sign a non-disclosure agreement with you, and only labelers who have signed the NDA will be allowed to work with your data.

Free Trial

The best way to evaluate the quality of any service is to try. You can get a small batch of your images annotated for free. No hassle, no commitment.