SAYANA ODC 17+

Count Items‪.‬

RAWATTECH CONSULTING & SOLUTIONS PRIVATE LIMITED

    • Free

iPhone Screenshots

Description

Introducing SAYANA ODC, the ultimate app for all your counting needs!

SAYANA ODC is a powerful image recognition app that allows you to count items in any image with ease and precision.

Our app uses advanced image recognition technology to quickly and accurately count items in any image you upload. Simply take a picture or upload an existing one, and let SAYANA ODC do the rest. With just a few taps, you'll have an accurate count of all the items in the image, saving you time and hassle.

But that's not all - SAYANA ODC also features a user-friendly interface and customizable settings to ensure that your counting experience is as seamless as possible.

Key Features:

1. Multi-Object Detection: Recognizes and counts various objects in images, including pipes, people, chickens, toys, cars, books, tablets, and coins.

2. Accurate Counting: Utilizes advanced algorithms for precise object identification and counting, ensuring accurate results.

3. Efficient Processing: Swiftly processes images to detect and enumerate objects within seconds, enhancing productivity and saving time.

4. User-Friendly Interface: Intuitive and user-friendly design for seamless navigation and effortless object counting.

So what are you waiting for? Download SAYANA ODC today and start counting smarter, not harder.

What’s New

Version 1.6

Bug fixes.

App Privacy

The developer, RAWATTECH CONSULTING & SOLUTIONS PRIVATE LIMITED, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Contact Info
  • User Content
  • Search History
  • Identifiers
  • Usage Data
  • Diagnostics

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Usage Data
  • Diagnostics

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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