Learn Data

Introduction

The Project is aim to collect basic urban facilities data from the field.

The main information are identifing a data are below:

  • Name (English),
  • Name (Bangla),
  • Geograpgic Location,
  • Street level (Front Photo),
  • Full Address,
  • Contact Number,
  • Category,
  • Sub-category,
  • Time table,
  • Payment system,
  • Cuisines types,
  • Seating facility,
  • Takeaway facility.

Name (English)

Every Point of interest (POI) have name, those information give that separation from others. Every machine can read english speling easily. In collecting time have to follow in english speling not english translation .

Example :

hotel

Here Rabbani Hotel & Restaurant or Rabbani Hotel and Restaurant is currect english speling not Rabbani Restaurant or Rabbani Restaurant & Restaurant .

Name (Bangla)

Bangla or বাংলা is local language.

Geograpgic Location

Geographic Location or Geolocation give a separate identity from other same name POIs.

Example :

hotel

Street level (Front Photo)

The street level front view photos also help to identify remotely.

Example : hotel

Full Address

Full address is also important to. There are lot of style are following in locally . But we are maintain a system. That is below :

Example:

House 159, Level 4, Road 6, Block Ka, PC Culture Housing Society, Shyamoli, Dhaka 1207

Here

Building Name Building Number Level/Unit Number Road Name & Road Number Block Name/Number Village/Area Name Thana/Upazila Name Post Code
  House 159 Level 4 Road 6 Block Ka PC Culture Housing Society Shyamoli Dhaka 1207

Note: Every part will be seperate by “ ,.

Contact Number

Example:

  • Tell Number:
  • Mobile Number:
  • Fax Number:
  • Email Address:
  • Website Address:

Category

All POI have a main category. Every categories also have sub category. The main Categories are below:

Num Category
01 Health Data
02 Food Data
03 Education Date
04 Emergency Data
05 Traffic Data
06 Administration Data

Time table

When or Which time table follows the POI. It has also a conventional system .

  • 8 hours
  • Daylight
  • 24 hours

Payment system

Some POI have payment system . If a POI have personal Electric/Digital payment system that is important in this part.

Like : Bkash, Rocket, Nagad etc.

Cuisines types

It is only for Food categories .

Seating facility

It is mainly important in food categories.

Takeaway facility

It is important in food , pharmacy etc categories.

Health Data

All health related data are under health category . In nameing localy there are many system are following in health facility . Its make confution. Thats why we are trying to make a standurd category based on international naming system.

Health data sub-category.

Heath Data Category
* Pharmacy
* Clinic
* Hospital
* Doctors Chamber

Pharmacy

Example: pharmacy

Pharmacy data have also sub-categories.

Pharmacy Category
* Pharmacy
* Drug House
* Homeopathy

Note: If a Doctor practice in a pharmacy . it also collect in this part.

Clinic

Clinic data have also sub-categories.

Clinic Category
* Clinic
* Nursing home
* Birthing center
* Dialysis centers
* Health Centre
* Urgent care
* Laboratories
* Blood Banks

Clinic

clinic

Laboratories

Laboratories

Hospital

hospital

Doctors Chamber

doctor

Doctors Chamber data have also sub-categories.

Doctor Category
* Dentist
* Doctors
* Homeopathy Doctor

Dentist

Dentist

Homeopathy Doctor

Homeopathy

Food Data

Food data have sub-category.

Food Data Category
* Restaurant
* Cafe
* Fast Food

Restaurant

hotel

Cafe

Cafe have also sub-category.

Cafe Category
* Tea
* Coffee
* Drinks

Tea

tea

Coffee

Coffee

Fast Food

fast food

Education Data

Education data have sub-category.

Education Data Category
* School
* College
* University
* Kindergarten
* Coaching Center
* Training Center

School School

University

University

Coaching Center

Coaching Center

Training Center

Training Center

Emergency Data

Emergency data have sub-category.

Emergency Data Category
* Police Station
* Fire Station
* Ambulance
* Water point

Police Station

Police Station

Water point

Water point

Water point

Water point

Traffic Data

We divide in 3 sub categories in Traffic Data.

Traffic Data Category
* Traffic Signal
* Human Traffic
* Traffic Police Box

Administration Data

We divide in 3 sub categories in Administration Data.

Number Category
1 Government
2 NGO
3 Commercial

Government Office

gov_office

Bank Data

Bank or Financial service also important part of urban life. We divide in 2 sub categories in bank datas.

Bank

bank

ATM

atm