A plain-language guide

Data Labeling Company in India: What It Does and How to Choose

A data labeling company adds the labels that machine learning models learn from: boxes around objects in images, outlines of shapes, tags on audio and text, and transcripts of speech. The quality of those labels sets the ceiling for what your model can learn.

This guide explains what to expect, how to judge label quality and what to ask before you hire. We label data from Chittorgarh, India, and we work under NDA.

Our main page for this service: AI Data Annotation.

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What a data labeling company does

The common kinds of work are:

  • 2D and 3D bounding boxes for images and video
  • Polygon outlines for exact shapes
  • 3D LiDAR point clouds
  • Multilingual speech transcription with timestamps and review

How to judge label quality

Ask how quality is checked, not only how fast the work is done:

  • A written labeling guide with examples of right and wrong
  • A gold set: items with known answers, used to check each labeler
  • Review passes, where a second person checks a sample or every item
  • A measure of how often labelers agree, and what happens when they do not
  • A feedback loop, so every error turns into a better guide

Start with a small pilot

A small batch shows you the quality and shows the team whether the labeling guide is clear. We recommend it, and it protects you from paying for a large batch that has to be redone.

Questions to ask before you hire

A good company will answer these without hurry:

  • Will you sign an NDA before we share any file?
  • Who will label our data, and do they know our field?
  • How do you check quality, and can we see a sample report?
  • Which formats do you deliver, such as COCO, YOLO or KITTI?
  • How do you handle personal data such as faces or voices?
  • What happens if our guide changes halfway through?

In-house or outsourced?

Labeling in-house gives you control but takes engineer time away from the product. Outsourcing frees your team and scales up and down. Many teams label a small gold set themselves and outsource the volume.

We compare the real costs in the real cost of in-house annotation.

What we do

Our AI data team labels images, video, LiDAR and speech for AI teams, under NDA, with a pilot first. Tell us the data type, the volume and how detailed the labels must be, and we quote after seeing a sample.

Frequently asked questions

What is a data labeling company?

A company that adds labels to raw data, such as images, video, audio and text, so a machine learning model can learn from it. Some also write labeling guides and check quality.

What is the difference between data labeling and data annotation?

In practice the terms mean the same thing. Some people use annotation for richer work such as outlines and 3D boxes, and labeling for simpler tags. Compare the task, not the word.

How do I check the quality of labeled data?

Use a gold set with known answers, review a sample of every batch and track how often labelers agree. A pilot batch is the cheapest way to see all three.

Can we start with a small batch?

Yes, and we recommend it. A small pilot shows you the quality and shows us whether the labeling guide is clear.

How do you keep our data private?

We sign an NDA before the first file is shared. If your files include personal data such as faces, voices or number plates, tell us before sharing. The Digital Personal Data Protection Act may apply, and your adviser can say how.

Which languages can you transcribe?

Tell us the language, the dialect and how clean the audio is. We say plainly whether we can put suitable people on it, and we will not claim a language until we have heard your sample.

How much does data labeling cost?

It depends on the data type, the volume and how detailed the labels are. We quote after seeing a sample.

Send us a sample

Tell us the data type, the volume and how detailed the labels must be. Call +91-86194 70448 or email contact@gtsltd.in. We work remotely, in English, with businesses in India and abroad.

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