# Labelocity - Image Annotation — For Turi Create & TensorFlow

> Image annotation tool for object detection datasets with S3 integration and ML model export. (iPhone/iPad app by Jonah Bonah Learning LLC.)

- Source: https://appshunter.io/ios/app/labelocity-image-annotation/id1434985750 (this page in markdown: same URL + `.md`)
- Developer: [Jonah Bonah Learning LLC](https://appshunter.io/developer/568581308)
- Category: Utilities, Business
- Price: Free with in-app purchases
- Rating: 3.40/5 from 5 App Store ratings · 2 written reviews indexed
- Age rating: 4+
- Requires: iOS 11.0 · 13 MB
- Languages: English
- Released: 2018-09-20
- Data updated: 2026-06-10
- Monetization: free with in-app purchases
- User reviews in markdown: https://appshunter.io/ios/app/labelocity-image-annotation/id1434985750/reviews.md

## What is Labelocity?

Labelocity is the easiest way to create bounding boxes with labels for your object detection dataset. Simply connect an Amazon S3 bucket that contains your images, and annotate away! You can even add colleagues to help you label your data (requires subscription). Once you're finished, you can export to Turi Create (Apple) and TensorFlow (Google) formats for building your object detection ML models.

Features:
• Import images from Amazon S3.
• Exports to Turi Create (Apple) and TensorFlow (Google).
• Work on projects with colleagues (requires subscription).
• Supports both iPhone and iPad!
• Scales easily from small to large projects.

Check out a tutorial on Labelocity: https://bit.ly/2pnN1vl

Labelocity is FREE to use for one project without collaboration and up to 50 images and 100 bounding boxes. You may upgrade to access at an introductory rate of $9.99 USD per month or $99.99 USD per year and get unlimited Projects, Images, Bounding boxes, and Collaborators! This rate will expire November 30, 2018.

Note: To use Labelocity, you will need to store your images in an Amazon S3 bucket and provide read-only access. Here's a video how to generate the S3 keys to use in the app: https://youtu.be/z4X_ADHcIyI.

Why choose Labelocity?
If you're exploring creating an Object Detection dataset, you've likely came across free and paid tools to create your data. Many tools require lengthy setup, high costs, and don't export to the format you need, requiring extra effort. In addition, few offer collaboration with your colleagues, making it very time consuming to annotate lots of images. Choosing Labelocity to label your images will have your ML model to production faster and with less expense.

About the Subscription:
• You may choose between Monthly ($9.99 USD) or Annual ($99.99 USD) subscription lengths. Both subscriptions provide unlimited Projects, Images, Annotations and Collaborators.
• Payment will be charged to iTunes Account at confirmation of purchase.
• Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period.
• Account will be charged for renewal within 24-hours prior to the end of the current period.
• Subscriptions may be managed and auto-renewal may be turned off by going to your iTunes Account Settings after purchase.

Terms of Use:
https://labelocity.s3.amazonaws.com/terms_and_conditions.html

Have feedback? We love it! Send to feedback@jonahbonahlearning.com.

## Key features

- Create bounding boxes with labels
- Import images from Amazon S3
- Export to Turi Create and TensorFlow
- Collaborate with colleagues
- Supports iPhone and iPad
- Scales for large projects

## Pricing and in-app purchases

Base price: Free.

**Subscriptions**

| Subscription | Price | Period |
| --- | --- | --- |
| Standard Access Monthly | $4.99 | per month |
| Standard Access Annual | $49.99 | per year |


## Recent user reviews (2 of 2)

All indexed reviews: https://appshunter.io/ios/app/labelocity-image-annotation/id1434985750/reviews.md

### 1/5 — Bad

*2021-09-10, version 1.0.3*

Yeah I had to sign into a Google account I don’t even have one what is the point where I when I yeah I had to sign into a Google account but I don’t even have one what is the porn stupid app where I can’t even do anything with it I hate you I hate you I hate you I hate you I hate you I hate you!!

### 1/5 — Cumbersome; maybe a ripoff

*2019-09-02, version 1.0.3*

So I don’t quite understand 2 things: (1) why only S3 buckets? Why not import from other sources and (2) why is this even a subscription product? Are you hoping people won’t remember to cancel it? I’m still scratching my head.

## Frequently asked questions about Labelocity

### What is Labelocity used for?

Labelocity is used to create bounding boxes with labels for object detection datasets. It helps users prepare data for machine learning models by annotating images.

### How does Labelocity handle image storage?

Labelocity requires users to store their images in an Amazon S3 bucket and provides read-only access to these images within the app.

### Can I use Labelocity for free?

Yes, Labelocity is free for one project with up to 50 images and 100 bounding boxes, without collaboration features.

### What are the subscription options for Labelocity?

Labelocity offers monthly subscriptions for $9.99 USD and annual subscriptions for $99.99 USD, providing unlimited projects, images, bounding boxes, and collaborators.

### Does Labelocity support collaboration?

Yes, Labelocity allows users to add colleagues to help label data, which requires a subscription. This feature is designed to speed up the annotation process for larger projects.

### What formats does Labelocity export to?

Labelocity exports data in formats compatible with Turi Create (Apple) and TensorFlow (Google), which are commonly used for building object detection machine learning models.

### What devices is Labelocity compatible with?

Labelocity is compatible with iPhone and iPad devices, allowing for annotation on the go or from a tablet.

### How often is Labelocity updated?

The latest version of Labelocity is 1.0.3, which was last updated on October 7, 2018. This indicates a release cycle of approximately monthly in its early stages.

## Version history (last 4 releases)

### 1.0.3 — 2018-10-07

Fixed a performance issue when importing more than 1000 images.

### 1.0.2 — 2018-10-02

Fixed an issue that prevented more than 1000 images being added to a project.

Thank you for your feedback! Please keep it coming! Email feedback@jonahbonahlearning.com.

### 1.0.1 — 2018-09-22

We've added in the ability to install a sample project to play with. In addition, we've fixed reported bugs. Thanks for your feedback! Keep it coming, email feedback@jonahbonahlearning.com with comments, questions or issues.

### 1.0 — 2018-09-17

No release notes.

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-10.*