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.
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.
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
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
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
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
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 MohseniCEO 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 GrigorevPrincipal Data Scientist at OLX GroupTagias 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.
Case Studies
CASE
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.