Difference between revisions of "Character Recognition"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=ocr+image+handwriting+Text+digit+recognition+artificial+intelligence+deep+learning YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=ocr+image+handwriting+Text+digit+recognition+artificial+intelligence+deep+learning ...Google search] |
* [[Capabilities]] | * [[Capabilities]] | ||
* [[Image Retrieval / Object Detection]] | * [[Image Retrieval / Object Detection]] | ||
| − | * [ | + | * [https://www.slideshare.net/DataWorksMD/multilingual-optical-character-recognition-ocr-in-unconstrained-image-and-video Multilingual Optical Character Recognition (OCR) in Unconstrained Image and Video | David Etter] |
** Concepts/Tools/Standards: | ** Concepts/Tools/Standards: | ||
*** [[Deep Features]] | *** [[Deep Features]] | ||
*** [[Local Features]] | *** [[Local Features]] | ||
| − | *** [ | + | *** [https://github.com/python-pillow/Pillow Pillow] file format support, an efficient internal representation, and fairly powerful image processing capabilities |
| − | *** [ | + | *** [https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt Face Recognition Vendor Test (FRVT) | NIST] |
** [[Datasets]]/Networks: | ** [[Datasets]]/Networks: | ||
| − | *** [ | + | *** [https://en.wikipedia.org/wiki/ImageNet ImageNet | Wikipedia] |
| − | *** [ | + | *** [https://wordnet.princeton.edu/ WordNet] |
*** [[ResNet-50]] | *** [[ResNet-50]] | ||
| − | *** [ | + | *** [https://www.robots.ox.ac.uk/~vgg/data/vgg_face/ VGG | Oxford] |
| − | *** [ | + | *** [https://www.forbes.com/sites/korihale/2019/06/25/microsoft-scraps-10-million-facial-recognition-photos-on-the-low/#6672d61949f2 Microsoft Scraps 10 Million Facial Recognition Photos On The Low | Kori Hale -Forbes] |
| − | * [ | + | * [https://www.mediadistillery.com/technology/ Media Distillery] understanding video to engage customers |
| − | * [ | + | * [https://cloud.google.com/vision/docs/ocr Detect text in images | Google] - Optical Character Recognition (OCR) |
| − | ** [ | + | ** [https://opensource.google.com/projects/tesseract Tesseract OCR | Google] |
| − | *** [ | + | *** [https://www.i2tutorials.com/technology/building-an-ocr-using-yolo-and-tesseract/ Building an OCR using YOLO and Tesseract | i2tutorials] |
* [[Textract]] | * [[Textract]] | ||
| − | * [ | + | * [https://im2recipe.csail.mit.edu/ Recommends ingredients and recipes based on a photo of food] |
| − | * [ | + | * [https://towardsdatascience.com/a-gentle-introduction-to-ocr-ee1469a201aa A gentle introduction to OCR | Gidi Shperber - Toward Data Science] |
<youtube>ocB8uDYXtt0</youtube> | <youtube>ocB8uDYXtt0</youtube> | ||
Revision as of 04:30, 28 March 2023
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
