ABSTRACT
Object Recognition is a technology in the field of computer
vision. It is considered to be one of the dfficult 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 hut also reliable. This model has
been compared with various other models as well. This 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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NWANKWO, S (2021). Real-Time Object Detection Program. Repository.mouau.edu.ng: Retrieved Nov 22, 2024, from https://repository.mouau.edu.ng/work/view/real-time-object-detection-program-7-2
SAMUEL, NWANKWO. "Real-Time Object Detection Program" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 01 Nov. 2021, https://repository.mouau.edu.ng/work/view/real-time-object-detection-program-7-2. Accessed 22 Nov. 2024.
SAMUEL, NWANKWO. "Real-Time Object Detection Program". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 01 Nov. 2021. Web. 22 Nov. 2024. < https://repository.mouau.edu.ng/work/view/real-time-object-detection-program-7-2 >.
SAMUEL, NWANKWO. "Real-Time Object Detection Program" Repository.mouau.edu.ng (2021). Accessed 22 Nov. 2024. https://repository.mouau.edu.ng/work/view/real-time-object-detection-program-7-2