OBJECT DETECTION: MODEL COMPARISON ON AUTOMATED DOCUMENT CONTENT INTERPRETATION - A performance evaluation of common object detection models
Manually supervising a million documents yearly becomes an exhaustive task. A step towards automating this process is to interpret and classify the contents of a document. This thesis examines and evaluates different object detection models in the task to localize and classify multiple objects withi...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164767 |