Detect Text in Images with Python - pytesseract vs. easyocr vs keras_ocr

In this video we learn how to extract text from images using python. We compare three popular libraries: pytesseract, easyocr, and keras_ocr. Examples are run in a kaggle notebook on the TextOCR dataset.

Notebook used in the video: www.kaggle.com/code/robikscube/extracting-text-fro…

Timeline:
00:00 Extracting Text
00:42 TextOCR Dataset
01:31 Outline and Loading Data
04:19 Plotting Text Images
06:12 pytesseract
07:38 easyocr
10:18 keras ocr
13:14 plot comparison
20:00 Results comparison

Follow me on twitch for live coding streams: www.twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code:    • Make Your Pandas Code Lightning Fast  
Speed up Pandas Code:    • Make Your Pandas Code Lightning Fast  
Intro to Pandas video:    • A Gentle Introduction to Pandas Data ...  
Exploratory Data Analysis Video:    • Exploratory Data Analysis with Pandas...  

Working with Audio data in Python:    • Audio Data Processing in Python  
Efficient Pandas Dataframes:    • Speed Up Your Pandas Dataframes  

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#python #computervision #deeplearning