#!/usr/bin/env python
# coding: utf-8

# # Using ML on Textual FDR Records
# 
# ## Image -> JSON --> JSON Database
# 

# ![bound_volumes.jpg](attachment:67ca7587-79d6-40ce-bffc-a483bf999ae3.jpg)
# ![Volume-696.png](attachment:c4ac42ef-fe31-4d4f-a8ad-9dcb11fc7984.png)
# ![ML-phase1.jpg](attachment:e2fa67a6-e393-478e-a1d8-d634c5245898.jpg)
# ![ML-phase2.jpg](attachment:f7fe75f8-d916-4137-a29d-5364df08e357.jpg)

# ![sch1.png](attachment:39cd508a-2f8f-4c4b-956c-8dc489189f07.png)
# ![sch2.png](attachment:78219280-2f01-41d2-b327-d7f8c97593d5.png)
# ![sch3.png](attachment:f596f958-ba3c-4dd0-b64f-2789ecfb6187.png)
# ![sch4.png](attachment:424e6ae7-1c6a-4431-a1d7-445b5844af86.png)
# 
# ![sch6.png](attachment:c9d8446a-76f3-48e0-aa1c-dc9a91221f74.png)
# ![sch7.png](attachment:6322d19b-2da0-448a-b548-25cb5e586256.png)

# In[ ]: