Object Detection and Recognition in Images

  Sandeep Kumar,  Aman Balyan,  Manvi Chawla

Object Recognition is a technology in the field of computer vision. It is considered to be one of the difficult and challenging tasks in computer vision. Many approaches have been proposed in the past, and a model with a new approach which is not only fast but also reliable. Easynet model has been compared with various other models as well. Easynet model looks at the whole image at test time so its predictions are informed by global context .At the prediction time, our model generates scores for the presence of the object in a particular category. It makes predictions with a Single network evaluation. Here object detection is a regression problem to spatially separated bounding boxes and associated class probabilities.

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Unique Identification Number - IJEDR1704166
Page Number(s) - 1029-1034
Pubished in - Volume 5 | Issue 4 | December 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sandeep Kumar,  Aman Balyan,  Manvi Chawla,   "Object Detection and Recognition in Images", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1029-1034, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704166.pdf