Emizentech
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Data Annotation Company
EmizenTech provides annotated data curated for AI and machine-learning Intelligence companies needing high-quality training information for various companies.
Data Annotation Services we Offer
At EmizenTech, we offer specialized data annotation services designed to enhance machine learning capabilities and boost AI performance across various sectors. Our experienced annotation professionals deliver highly accurate and consistent labels, ensuring data sets are of the highest quality and aligned with the unique requirements of your AI project.
Image/Video Annotation
Uncover critical insights from visual content through our image and video annotation services. We provide object detection, segmentation, landmark tagging, and motion tracking to support a wide range of use cases across multiple domains.
Text Annotation
Our text annotation solutions accommodate numerous languages and scripts, enabling seamless support for natural language processing tasks. We provide key capabilities such as text classification, named entity recognition, intent detection, key phrase extraction, sentiment analysis, question answering, and summarization to power applications.
3D Sensor Fusion Annotation
Take your 3D computer vision models to a higher level of precision with our advanced multi-sensor annotation offerings. Services include object classification, 3D object tracking, 2D-3D view alignment, bird’s-eye-view mapping, and point cloud segmentation.
Audio Annotation
Transform your audio data into actionable insights using our AI-driven audio annotation services. Our solutions support speech recognition, speaker identification, audio segmentation, diarization, and accurate transcription to help machines understand and respond to spoken language effectively.
Industry-Specific Data Annotation Services we Offer
At EmizenTech, we specialize in delivering end-to-end data annotation solutions tailored to the distinct needs of various industries.
Games and Sports
On-Demand
Aviation
Logistics
Agriculture
Scalable Data Annotation Services for ML Training
From image to NLP annotations, we deliver large volumes of labeled data with speed, quality, and consistency.
Tech Stack we Leverage for Data Annotation Services
Our selection of tools and frameworks ensures scalable, secure, and high-performance data processing across different types of data and project requirements.
Labelbox
Supervisely
VGG Image Annotator (VIA)
CVAT
Python
Java
Bash
R
TensorFlow
PyTorch
OpenCV
Scikit-learn
Amazon S3
Google Cloud Storage
Azure Blob Storage
MongoDB
Apache Airflow
Docker
REST APIs
Git
Our Expertise with Data Annotation Services
If you’re uncertain about the exact capabilities your project requires, we’re here to help. Whether you want to submit raw audio for transcription or annotated versions of your existing transcripts, our team can work with you to determine the best approach for your needs.
3D Cuboid Annotation
This technique adds a third dimension to data labeling by capturing depth and volume beyond standard 2D analysis. Ideal for applications in 3D object detection, augmented and virtual reality, and robotics, it enables models to interpret the spatial characteristics of objects through annotated 3D bounding boxes.
Skeletal Annotation
By mapping key points and connecting them to represent body structure, skeletal annotation allows AI systems to accurately track and analyze human posture and movement. This is particularly useful for motion studies in sports analytics, ergonomic assessments, and video surveillance.
Semantic Annotation
Semantic annotation enriches your data by tagging objects with meaningful labels that define their roles and context. This approach is essential for tasks such as natural language processing, content categorization, and advanced computer vision, helping AI models understand how objects relate within a given environment.
Bounding Boxes
Bounding box annotation involves placing precise rectangular frames around objects in images. This method helps AI systems detect, identify, and classify visual elements, making it suitable for training models used in autonomous driving, security systems, and product recognition on eCommerce platforms.
Landmark Annotation
In fields such as healthcare and facial recognition, landmark annotation is used to identify and mark specific key points—like facial features or anatomical reference markers. This technique is widely applied in medical imaging, emotion detection, and biometric systems where precision is critical.
Polygon annotation
For objects with irregular or complex shapes, polygon annotation offers detailed boundary mapping that goes beyond standard box limitations. It is an effective solution for training AI to recognize intricate forms such as road layouts, agricultural areas, or biological structures, offering deeper visual understanding.
Process we Follow for Data Annotation Services
Request + NDA
Share data sample
Submit guidelines document
Sign NDA agreement
Ensure confidentiality
Project Evaluation
Assess scope & cost
Estimate timeline accurately
Propose commercial offer
Align expectations
Contract Preparation
Draft agreement terms
Review project details
Finalize and sign
Confirm legal terms
Data Annotation
Begin annotation process
Assign project manager
Enable milestone feedback
Use annotation platform
Quality Assurance
Perform multiple validations
Run hybrid checks
Ensure high accuracy
Verify data integrity
Data Delivery
Share final dataset
Include QA report
Provide accuracy metrics
Deliver performance matrix
Data Annotation Services That Ensure Precision Learning
Improve model accuracy with multi-layered, human-in-the-loop data labeling processes tailored to your project.
Why we are the Data Annotation Agency?
As a top provider of data annotation solutions, EmizenTech supports businesses by delivering AI training data that improves the prediction accuracy of machine learning models. Our annotation specialists are equipped to manage diverse data formats, including images, videos, and text, using various annotation methods to ensure flexibility and scalability for your AI-driven models.
With years of experience in the field, our data annotation services are tailored to match the unique needs of your machine learning projects. We deliver high-quality, large-scale datasets within the required timeframe to help your AI systems perform with greater precision.
- High-quality, human-verified annotations
- Scalable workflows for large datasets
- Expertise across multiple annotation types
- Fast turnaround with consistent accuracy
- Secure handling of sensitive data
- Custom solutions for AI training
Frequently Asked Questions
Which annotation tools do you typically use?
We can perform data labeling using our in-house annotation platform or any third-party tool you recommend. Our team is flexible and experienced with a variety of tools to suit your preferences.
How would you define data annotation?
Data annotation involves assigning metadata to raw data—such as text, images, or videos—to make it understandable to machine learning systems. This process may include adding labels, creating bounding boxes, tagging sentiment, or identifying key features for algorithm training.
How long does it take to receive the annotated data?
Turnaround time depends on several factors, including the size of the dataset, the complexity of the task, and the required level of detail. We provide timelines after reviewing the full scope of your project to ensure transparency and accuracy.
Is there a limit to how many objects can be labeled in one image?
While we follow internal guidelines to maintain efficiency and quality, we can accommodate more complex labeling requirements if your project demands it. We are open to adjusting limits based on your specific needs to ensure optimal results without compromising accuracy or speed.
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hello@emizentech.ae
emizentech