Video Annotation Services

Annotate video datasets for your models with certified security and a free pilot.

Trusted by 100+ Customers

Who We Serve

ML Engineers

Developing video-based ML models for action detection or object tracking

Facing slowdowns with in-house video annotation processes

Dataset Providers

Offering annotated video datasets for sale

Need fast and accurate video annotation to meet demand

AI-Powered Business

Implementing ML models for video analysis or surveillance

Struggling to manage large volumes of raw video footage

Academic Researchers

Required to provide annotated video datasets for studies

Limited time to handle complex video annotation tasks

Discuss your challenges

Check Your Video Annotation Needs

Rectangles

Rectangles

Polygons

Polygons

Cuboids

Cuboids

Keypoints

Keypoints

Semantic segmentation

Semantic segmentation

Instance segmentation

Instance segmentation

Panoptic segmentation

Panoptic segmentation

Localizing and classifying objects quickly, works for well-defined objects.

Pick the service you need

Making detailed shapes when accuracy is critical.

Pick the service you need

Working with 3D objects and environment to label data in three dimesions.

Pick the service you need

Tracking fine details such as facial features, skeletal structures, or joint positions.

Pick the service you need

Making precise pixel-level classification when it is important, but individual object distinction is not needed.

Pick the service you need

Segmenting when you need to differentiate between individual objects that belong to the same category.

Pick the service you need

Segmenting when you need both pixel-level classification and individual instance differentiation in complex scenes.

Pick the service you need

Rectangles

Rectangles

Localizing and classifying objects quickly, works for well-defined objects.

Pick the service you need

Polygons

Polygons

Making detailed shapes when accuracy is critical.

Pick the service you need

Cuboids

Cuboids

Working with 3D objects and environment to label data in three dimesions.

Pick the service you need

Keypoints

Keypoints

Tracking fine details such as facial features, skeletal structures, or joint positions.

Pick the service you need

Semantic segmentation

Semantic segmentation

Making precise pixel-level classification when it is important, but individual object distinction is not needed.

Pick the service you need

Instance segmentation

Instance segmentation

Segmenting when you need to differentiate between individual objects that belong to the same category.

Pick the service you need

Panoptic segmentation

Panoptic segmentation

Segmenting when you need both pixel-level classification and individual instance differentiation in complex scenes.

Pick the service you need

How It Works

Step 1

Free Pilot

Submit your video dataset for free annotation and evaluate our services risk-free.

Step 2

QA

Review the pilot results to confirm they meet your quality standards and project budget.

Step 3

Proposal

Get a proposal tailored to your specific video annotation needs and objectives.

Step 4

Start Annotation

Kick off the video annotation process with our experienced global team.

Step 5

Delivery

Receive your annotated videos on time, keeping your ML project on schedule.

Calculate Your Cost
Estimates

1 Select labeling method

2 Specify how many objects to process

3 Check the approximate total cost

4 Run free pilot

Pick Application Field

Select Labeling Method

Keypoints

Rectangles

Polygons

Cuboids

Amount

0 1M

Estimated Cost

$ x entities

$

Send your sample data to get the precise cost FREE

Reviews

What Our Clients Say

Clutch

Clutch

ClutG2 Crowdch

ClutG2 Crowdch

"We were impressed by the labeled data quality as well."

Label Your Data makes significant progress toward the goal of enhancing the client’s algorithm performance. The team works quickly to deliver annotations and annotators with extensive experience in the field. Their project management is straightforward, making for a smooth engagement.

Roman Lutsyshyn

Roman Lutsyshyn

CEO, NLP Development Company

"They’re willing to drop everything to fulfill our needs and keep us happy."

Demonstrating a profound dedication to the project, Label Your Data consistently provides near-perfect deliverables at a cost-effective price. Thanks to their help, the client has been able to be more flexible with their work. Their impressive turnaround time further enhances the solid partnership.

Jack Hopkins

CTO, Raveler Ltd

"Their flexibility and ability to work with multiple languages are impressive."

LYD showed high quality and flexibility and convinced us from day one with their high passion for delivering a great service. We currently evaluate further possibilities to further involve them in our initiatives and projects.

Luca van Skyhawk

Luca van Skyhawk

VP of Customer Success, Hypatos GmbH

“I’m impressed with how easy our communication with the team is and how simple and effective the processes are."

Label Your Data’s support has been crucial in developing the client’s computer vision perception algorithms.

Piotr Swierczynski

Piotr Swierczynski

Director of Engineering, NODAR

"The Label Your Data team was always available for questions."

Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client’s portfolio. The team was consistently available for questions or updates that needed to be added to the data set.

Josha Bharadwa

Software Architect, Searidge Technologies

"They are flexible, dedicated, and their processes are well organized."

Label Your Data sends out weekly data annotation for the client to review. So far, the platform hasn’t had any issues and they are focusing on enhancing the platform since it was launched in November 2020. Their expertise shows productive results as the project progresses.

Asad Lesani

CEO, Blue City Technology

Why Projects Choose Label Your Data

No Commitment

Check our performance based on a free trial

Flexible Pricing

Pay per labeled object or per annotation hour

Tool-Agnostic

Working with every annotation tool, even your custom tools

Data Compliance

Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA

Start Free Pilot

fill up this form to send your pilot request

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We'll get back to you shortly

Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.

Kyle Hamilton

PhD Researcher at TU Dublin

Trusted by ML Professionals

FAQs

Do I need to commit to a long-term contract?

Not at all. We offer 3 flexible pricing options:

Short term for one-off projects like academic research
On-demand for seasonal projects when you need additional workforce
Long term for a streamlined data annotation workflow

What is your pricing?

We calculate according to how much time is spent on your object annotation. That’s why the pilot project is also valuable for us – we get to calculate the expenses

When can I start the free pilot?

As soon as we clarify details on your dataset. You’ll get a reply within this or the next work day.

Do you work with our labeling tools?

Absolutely! We’re flexible with any tools you want us to work in.

How can I trust you with my confidential data?

We earned several data compliance certificates to prove our dedication to data security:

PCI DSS Level 1
ISO:27001
GDPR
CCPA

After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks.

What are video annotation services?

Video annotation services, like those provided by Label Your Data, involve labeling or tagging objects, actions, or events in videos frame by frame. This process helps machines interpret video data for various applications such as computer vision, object detection, and autonomous navigation.

How do you make an annotation video?

Here’s how to create an annotation video in a few simple steps:

Step 1: Upload the video into the system, with optional frame splitting if needed.
Step 2: Ensure support for any format and FPS requirements.
Step 3: Use the in-house annotation tool to apply automated box annotation and interpolation techniques.
Step 4: Accurately label objects, actions, or regions of interest to ensure high-quality annotations.
Step 5: Finalize the annotation, preparing it for ML model training.