OUR ANNOTATION SERVICES

Elevate your AI training model with dedicated workforce

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Image Annotation

With precise capture tools, we annotate all types
and sizes of photos, making them identifiable for machines
or computer vision.

We label images from many domains with the best tools
and approaches, giving training data for machine learning
in various subfields.

Video Annotation

The aim is to make the moving items identifiable for computers
or machines by capturing each object in videos
with interpolated labels from frame to frame.

We can convert any type of your video into a sequence
of images, and use the automated tool to forecast
and track the object trajectory

Text Annotation

Smart document processing software that integrates
the best of OCR technology with human perception.

VBPO’s AI-OCR solution is developed on the basis
of artificial intelligence to produce more accurate results
for various types of documents. Content includes print,
handwriting, and even ones that have been deleted and edited.

Other Annotation

Voice annotation: Provide a recorded speech data,
a platform to annotate audio files.

Data creation: Work with Client-required equipment
or set it up ourselves is to produce graphic data

Data collection: Work with datasets from open source image
repositories that cover a variety of real cases

OUR PRODUCT

Data Labeling Platform

This is a comprehensible labeling tool with a flexible pipeline that helps you save a lot of time spent on your data while still retaining high accuracy using the power of Al


We also provide highly professional human workers as part of the flexible pipeline described above to help your data reach over 99% accuracy.

Highly accurate labeled data.

Time-saving process.

Flexible pipeline.

Let's try

OUR SOLUTIONS FOR INDUSTRIES

We bring to you an annotation service that is versatile and applicable to any data field and industry

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Semantic segmentation

Segment objects on the driving regions such as vehicles, houses, tree, snow, sign, etc. up to 54 layers in Pixel-level accuracy.

2D bounding boxes

Apply bounding box for vehicle, traffic light, road marking, etc. and put attribution to them (light color status, vehicle dimension, etc.).

Polygon and polyline annotation

Annotate objects using polygon and polyline with 3 pixels deviation.

Video track mode

Track objects persistently across multiple frames.

Objects detection

Set alarm for radar sensing device, notifying if there is an object entering the radar area.

Cuboid

Elevate your computer vision training model with annotated 3D objects from 2D photos and videos to detect accurate dimensions and directions for automated driving function. Our cuboid annotation services assist self-driving models in comprehending real-world scenarios.

These robots are trained to carry out dangerous or heavy tasks such as lifting or moving materials.
By using our labeling service, they can serve with better decision making.

Polygon
Bounding

From CCTV cameras in the office, people’s postures and actions can be put in to analysis to enhance security levels. Also, they are more free from some of the household chores thanks to the indoor robots, being trained by masked and segmented data to improve navigation accuracy

Polygon
Bounding
Polyline
Masking
Polygon
Polygon
Bounding
Masking

OUR PROJECTS


Polyline annotations for Autonomous vehicles

– Project Team: 50 Staff
– Project Volume: 258,000 Frames
– Output Type: .YAML


Polyline annotations for Autonomous vehicles

– Annotate lanes, pavement, sidewalk area for ego vehicle by drawing lines
– Define and assign attributes: weather, surface conditions, etc.

Polygon annotations for Agriculture

– Project Team: 30 Staff
– Project Volume: 686 Files
– Output Type: .JSON


Polygon annotations for Agriculture

– Label chicken and tomatoes with Polygons and assign them with attributes: tomato color or chicken size

Cuboid for Autonomous vehicles

– Project Team: 165 Staff
– Project Volume: 108,210 Images
– Output Type: .TXT


Cuboid for Autonomous vehicles

– Define visible vehicles and traffic objects from lidar on 3D point cloud and label them with cuboids

Image classification

– Project Team: 6 Staff
– Project Volume: 2,000,000 Images
– Output Type: .PNG


Image classification

– Reference images for categories are provided.
– Classify images in a folder into corresponding categories

Video track mode for Autonomous Vehicle

– Project Team: 65 Staff
– Project Volume: 35,000 Images
– Output Type: .TXT


Video track mode for Autonomous Vehicle

– Define visible lanes, vehicles and traffic signals in dash cam videos

Key point annotation for Autonomous vehicles

– Project Team: 11 Staff
– Project Volume: 40,000 Frames
– Output Type: .PNG


Key point annotation for Autonomous vehicles

– Annotate 12 to 36 landmarks on driver’s face and body; then label them as postures or actions.

Bounding box for Traffic monitoring

– Project Team: 55 Staff
– Project Volume: 155,518 Images
– Output Type: .PNG


Bounding box for Traffic monitoring

– Annotate images from traffic CCTV
– Recognize license plates on vehicles
– Label characters (letters and numbers) on those plates with bounding boxes to define corresponding parameters such as regions, vehicle types, etc.

Semantic segmentation for Autonomous vehicles

– Project Team: 109 Staff
– Project Volume: 22,679 Images
– Output Type: .PNG


Semantic segmentation for Autonomous vehicles

– Recognize available objects on the driving scenes: vegetation, housing, vehicles, roads and annotate them by segmentations
– Define possible attached objects: cell phones, umbrellas, hand bags or backpacks and annotate them by segmentations
– Define related attributes: Weather, state of surface, foggy view, season, etc.
– 54 classes in total.

Semantic segmentation for Robotics

– Project Team: 47 Staff
– Project Volume: 38,000 Images
– Output Type: .PNG


Semantic segmentation for Robotics

– Annotate fish-eye images from office CCTV
– Define 6 classes of objects and label them by segmentations
– Define visible objects like human or items on construction field and label them by segmentations

PRICING

Advance your project with Rainscales

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Quotation per image and annotation

Best-effort quality commited


Image Annotation

Video Annotation

Text Annotation

Speech Annotation

Other Requirements

Get a quote

Quotation per data package with volume discount

Utmost quality commited with QA involvement

24/7 customer service and support

Image Annotation

Video Annotation

Text Annotation

Speech Annotation

Other Requirements

Get a quote