https://github.com/aryanjain28/indian-roads

An android application that detects objects normally found on Indian roads like - Car, Bicycle, Cow, Truck, etc. I used the TF-Lite model in this application and downloaded specific categories from the COCO dataset to train upon. The application uses the phone's rear camera and detects in real-time.
https://github.com/aryanjain28/indian-roads

android-application object-detection tensorflow tensorflow-examples tflite

Last synced: 6 months ago
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An android application that detects objects normally found on Indian roads like - Car, Bicycle, Cow, Truck, etc. I used the TF-Lite model in this application and downloaded specific categories from the COCO dataset to train upon. The application uses the phone's rear camera and detects in real-time.

• Host: GitHub
• URL: https://github.com/aryanjain28/indian-roads
• Owner: aryanjain28
• Created: 2020-07-20T09:44:32.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-20T17:01:41.000Z (almost 6 years ago)
• Last Synced: 2025-02-13T19:17:16.639Z (over 1 year ago)
• Topics: android-application, object-detection, tensorflow, tensorflow-examples, tflite
• Language: Jupyter Notebook
• Homepage:
• Size: 3.13 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Introduction

An android application that detects objects usually found on an indian road.

Images for the specific categories is downloaded from COCO dataset, using a script that I wrote (available in Script folder in repository).

Categories includes 8 objects, they are : 

    

      1. Cow

      2. Dog

      3. Truck

      4. Bicycle

      5. Truck

      6. MotorCycle

      7. Person

      8. Bus

      

I trained, model from "ssd_mobilenet_v2_quantized_300x300_coco" tensorflow model's zoo and converted it to TF-Lite in order to use it in mobile.

    

# Usage

The application simply uses phones rear camera and detects objects in real time

# Screenshots









# References

https://medium.com


https://cocodataset.org/


https://www.tensorflow.org/lite/