Ebola
 | Haec est pagina discretiva alias paginas eiusdem fere nominis indicans. |
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Ebola (flumen) est flumen in Congo.
Ebola (morbus) est morbus ab ebolaviro facti.
Ebolavirus est virus.
2014 Africae Occidens Ebola Eruptio - Pandemia ebola.
How to label and detect the document text images
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This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C
