Better data – higher accuracy
Constantly expandable image dataset repository based on your needs.
Made from scratch using pictures and videos from the real world.
Made from scratch using pictures and videos from the real world.
Data collection
DATA
You can get an image dataset of any size. We will take pictures of any objects in different locations, from different distances, at different angles, under different lighting.
We double-check each image for strict compliance with your assignment.
We double-check each image for strict compliance with your assignment.
Industries
INDUSTRIES
Image annotation
High Quality
To improve your computer vision application, it is more effective to properly prepare the training data than to rebuild complex machine learning models.
Any Complexity
We optimize the workflow and customize the tool for your task, and therefore can equally and efficiently perform both non-standard and straightforward tasks of any size.
Fully Managed
Our account manager is your own internal representative. He knows what you need and controls the quality and timing. He is your team member in our company.
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.
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, PhDI 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.
Tagias API
The API makes it easy for you to submit image annotation tasks. Once you register using your Google account, you'll automatically get $3 on your balance that you can spend according to our price list.
Python: tagias-python package
API call
Image labeling
Response
Case Studies
Services Offer
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.
5.2. All and any data provided by TAGIAS.com to the Customer under the Assignment for the collection of data have been lawfully collected and are lawfully used by TAGIAS.com and do not violate the proprietary rights of their authors or rightholders, if having any copyrighted items among them. At the same time with the transfer of the collected data to Customer, TAGIAS.com also grants to the Customer a non-exclusive, irrevocable, worldwide, perpetual license for their use, for commercial or non-commercial purposes excluding the right to distribute and/or transfer collected data to third parties.