MILE lab, IISc
- 8 followers
- Bangalore, India
- http://mile.ee.iisc.ac.in/
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Kannada-OCR-test-images-with-ground-truth
Kannada-OCR-test-images-with-ground-truth PublicThis Kannada OCR benchmarking dataset contains 250 images, carefully chosen to have various kinds of recognition challenges. Some of the pages have italics and bold characters. Some of them have Ha…
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MergedSymbolsKannada
MergedSymbolsKannada PublicBenchmarking dataset of merged symbols in Kannada along with their associated ground truth Unicode text
Shell 2
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DegradedWordsKannada
DegradedWordsKannada PublicBenchmarking dataset of degraded word images (with character splits) in Kannada along with their associated ground truth Unicode text
Shell 2
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SanskritPagesUsingKannadaScript
SanskritPagesUsingKannadaScript PublicOCR dataset of scanned images of Sanskrit text printed using Kannada script along with groundtruth text
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TuluDocuments
TuluDocuments PublicOCR dataset of scanned pages of Tulu books along with groundtruth text
Repositories
- m2repo Public
MILE-IISc/m2repo’s past year of commit activity - angular-sample Public
MILE-IISc/angular-sample’s past year of commit activity - MILE-OCR-API Public
MILE-IISc/MILE-OCR-API’s past year of commit activity - MILE-OCR-Engine Public
MILE-IISc/MILE-OCR-Engine’s past year of commit activity - CRNN Public Forked from janzd/CRNN
Convolutional recurrent neural network for scene text recognition or OCR in Keras
MILE-IISc/CRNN’s past year of commit activity - Kannada-OCR-test-images-with-ground-truth Public
This Kannada OCR benchmarking dataset contains 250 images, carefully chosen to have various kinds of recognition challenges. Some of the pages have italics and bold characters. Some of them have Halegannada poems and text; others are letterpress-printed pages, where the vowel modifiers appear as separate symbols and do not touch the consonants t…
MILE-IISc/Kannada-OCR-test-images-with-ground-truth’s past year of commit activity - AndroidScannerDemo Public Forked from jhansireddy/AndroidScannerDemo
ScanLibrary is an android document scanning library built on top of OpenCV, using the app you will be able to select the exact edges and crop the document accordingly from the selected 4 edges and change the perspective transformation of the cropped image.
MILE-IISc/AndroidScannerDemo’s past year of commit activity - MILE-OCR-Model Public
MILE-IISc/MILE-OCR-Model’s past year of commit activity
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