DATA ANNOTATION AND LABELING

Making AI accessible with smart data labeling services.

Transconomy offers accurate data annotation and labeling services to organizations seeking
high-quality training data for their AI and machine learning models.

PIXEL-PERFECT ANNOTATIONS

Get the right data for your AI goals.

Transconomy provides data annotation services catering to your specific requirements.

2D Data Annotation and Labeling Service using Python

2D Bounding Boxes

Transconomy’s data labeling service provides 2D rectangular box annotation to label objects in images, enabling algorithms to identify and localize objects during the model training phase.

3D Image Annotation using Deep Learning

3D Bounding Boxes

Transconomy’s data labeling service provides 3D cuboid annotation, which converts 2D images into 3D models to estimate an object’s actual dimension in images.

Polygon Annotation Services for Image Segmentation

Polygon Annotation

Our polygon annotation service use segmentation masks to acquire the most precise image annotation when faced with the shape of an irregular object, to ensure accurate localization.

Polyline Image Annotation using Python

Polyline Annotation

With Transconomy’s polyline annotation service, you can train machines to recognize lines and splines in images. This type of data may be helpful to extract pavement lane markings, cracks, etc.

Semantic Segmentation Applications and Labeling for Image Annotation using Machine Learning

Semantic Segmentation

Use Transconomy’s semantic segmentation service to get high-quality segmentation datasets. We group every pixel and classify objects that belong to the same class in the images with high accuracy.

Instance Segmentation Labeling Tool

Instance Segmentation

Our instance segmentation annotation service uses a hybrid approach of semantic segmentation and object detection to enable machines predict object instances and their per-pixel segmentation mask.

Image Classification Annotation using Python

Image Classification

For image classification model training, we create datasets by identifying images that contain similar objects or properties and assigning a descriptive phrase or a predefined class to them.

Image Masking Deep Learning using Python

Image Masking

For training machine learning algorithms that require mask image representations, we create datasets by separating images into layers where each pixel value encodes ground truth information.

Keypoint Annotation Services using Artificial Intelligence and Machine Learning

Keypoint Annotation

Transconomy’s Keypoint annotation service enables you to precisely detect shape variations for motion tracking, facial landmark detection, and hand gesture recognition.  

2D Image Annotation in Videos using Python

2D Bounding Boxes

Transconomy’s data labeling service provides 2D rectangular box annotation to label objects in videos, enabling algorithms to identify and localize objects during the model training phase.

Data Annotation and Labeling using 3D Boxes in Python

3D Bounding Boxes

Transconomy’s data labeling service provides 3D cuboid annotation, which converts 2D video frames into 3D models to estimate an object’s actual dimension in videos.

Polygon Annotation Services for Image Segmentation

Polygon Annotation

Our polygon annotation service use segmentation masks to acquire the most precise video annotation when faced with the shape of an irregular object, to ensure accurate localization.

Polyline Image Annotation using Python

Polyline Annotation

With Transconomy’s polyline annotation service, you can train machines to recognize lines and splines in videos. This type of data may be helpful to extract pavement lane markings, cracks, etc.

Semantic Segmentation Applications and Labeling for Image Annotation using Machine Learning

Semantic Segmentation

Use Transconomy’s semantic segmentation service to get high-quality segmentation datasets. We group every pixel and classify objects that belong to the same class in the videos with high accuracy.

Instance Segmentation Labeling Tool

Instance Segmentation

Our instance segmentation annotation service uses a hybrid approach of semantic segmentation and object detection to enable machines predict object instances and their per-pixel segmentation mask.

Keypoint Annotation Services using Artificial Intelligence and Machine Learning

Keypoint Annotation

Transconomy’s keypoint annotation service enables you to precisely detect shape variations for motion tracking, facial landmark detection, and hand gesture recognition.  

Labeling for 3D LiDAR Annotation using Python

Labeling

Transconomy’s LiDAR labeling service can easily label images in 360° view captured by multi-sensor cameras including recognition of different types of objects in the point cloud.  

LiDAR Annotation Tool with 3D Boxes

3D Bounding Boxes

Transconomy’s point cloud annotation service provides high-quality 3D cuboid annotated datasets to identify objects and their detailed attributes in LiDAR point clouds.

LiDAR Annotation Services by Transconomy

Segmentation

Transconomy provides you with a full spectrum of segmentation services for 3D point cloud data. This includes 3D positional information and conditions of objects in regions of interest.

Optical Character Recognition in Python

OCR

Transconomy’s text annotation service provides you with datasets that can be used to train your NLP models for Optical Character Recognition (OCR) to recognize texts, characters, and numbers in images.

Name Entity Tagging for Text Annotation using Python and Machine Learning

Name Entity Tagging

Transconomy’s name entity tagging service enables you to extract information that seeks to locate and classify named entities like names, dates, places, etc. in unstructured text.

Sentiment Analysis for Text Annotation using Python

Sentiment Analysis

Transconomy’s advanced sentiment analysis via text annotation can identify trends and nuances in large volumes of text data including opinions and its polarity, subject, and speaker.

Audio Annotation Tool by Transconomy using Python

Speech to Text Recognition

Transconomy’s speech to text recognition service transcribes recorded speech to text while categorizing both words and sounds in audio clips.

Audio Classification using Python for Audio Annotation

Audio Classification

Audio classification service from Transconomy transcribes audio information and categorizing diverse sounds and human voice commands into different contexts, surroundings, and environments.

Sound Labeling for Audio Annotation using Python

Sound Labeling

Transconomy’s sound labeling service creates datasets that classify and label various parts of audio clips.

GET RESULTS WITH CONVENIENCE

How It Works

Transconomy provides a streamlined process to understand your requirements and deliver high-quality annotated data for your AI initiatives.

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Consult

We host consultation sessions to understand your business requirements and suggest the right data for your AI goals.

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Share

You can share the raw data that needs to be annotated through our secure cloud service or ship hard drives to our office.

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Annotate

We use an AI-driven smart labeling process to annotate large volumes of data quickly and efficiently with high accuracy.

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Deliver

We deliver labeled data in easy-to-validate formats and provide you with analytics and insights to understand the data.

Let us help you reduce your data annotation and labeling costs.