Difference between revisions of "Character Recognition"
Line 26: | Line 26: | ||
** [http://opensource.google.com/projects/tesseract Tesseract OCR | Google] | ** [http://opensource.google.com/projects/tesseract Tesseract OCR | Google] | ||
*** [http://www.i2tutorials.com/technology/building-an-ocr-using-yolo-and-tesseract/ Building an OCR using YOLO and Tesseract | i2tutorials] | *** [http://www.i2tutorials.com/technology/building-an-ocr-using-yolo-and-tesseract/ Building an OCR using YOLO and Tesseract | i2tutorials] | ||
− | * [ | + | * [[Textract]] |
− | |||
* [http://im2recipe.csail.mit.edu/ Recommends ingredients and recipes based on a photo of food] | * [http://im2recipe.csail.mit.edu/ Recommends ingredients and recipes based on a photo of food] | ||
* [http://towardsdatascience.com/a-gentle-introduction-to-ocr-ee1469a201aa A gentle introduction to OCR | Gidi Shperber - Toward Data Science] | * [http://towardsdatascience.com/a-gentle-introduction-to-ocr-ee1469a201aa A gentle introduction to OCR | Gidi Shperber - Toward Data Science] |
Revision as of 05:07, 9 July 2019
YouTube search... ...Google search
- Capabilities
- Image Retrieval / Object Detection
- Multilingual Optical Character Recognition (OCR) in Unconstrained Image and Video | David Etter
- Concepts/Tools/Standards:
- Deep Features
- Local Features
- Pillow file format support, an efficient internal representation, and fairly powerful image processing capabilities
- Face Recognition Vendor Test (FRVT) | NIST
- Datasets/Networks:
- Concepts/Tools/Standards:
- Media Distillery understanding video to engage customers
- Detect text in images | Google - Optical Character Recognition (OCR)
- Textract
- Recommends ingredients and recipes based on a photo of food
- A gentle introduction to OCR | Gidi Shperber - Toward Data Science