Bounding Boxes in YOLO Model Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30 pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhat classifier is the best to determine if object was detected in the correct position?Should there be a flat layer in between the conv layers and dense layer in YOLO?Preparing ground truth labels for YOLO3Training of Region Proposal Network (RPN)What does the co-ordinate output in the yolo algorithm represent?YOLO algorithm - understanding training dataYOLO: how are outputs generated and how are feature maps used?Extracting metrics from multiple classes of clustered objectsWorking ofLSTM with multiple Units - NERWhich learning tasks do brains use to train themselves to see?
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Bounding Boxes in YOLO Model
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30 pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhat classifier is the best to determine if object was detected in the correct position?Should there be a flat layer in between the conv layers and dense layer in YOLO?Preparing ground truth labels for YOLO3Training of Region Proposal Network (RPN)What does the co-ordinate output in the yolo algorithm represent?YOLO algorithm - understanding training dataYOLO: how are outputs generated and how are feature maps used?Extracting metrics from multiple classes of clustered objectsWorking ofLSTM with multiple Units - NERWhich learning tasks do brains use to train themselves to see?
$begingroup$
The YOLO model splits the image into smaller boxes and each box is responsible for predicting 5 bounding boxes.
My question is how does the model make these bounding boxes for every grid cell ? Does each box have a predefined offset with respect to say the center of the grid cell.
I AM NOT TALKING ABOUT THE FINAL BOUNDING BOX THAT ENCLOSES THE OBJECT
I am talking about the 5 predicting bounding boxes that are present for each grid cell.
Like for example if the smaller grid cell is located at say 50x50 (the center of it) then the bounding boxes should be at (50+5)x(50+5) or something like that
If not then how do the bounding boxes come to be ?
Paper - https://arxiv.org/pdf/1506.02640.pdf
deep-learning classification computer-vision object-recognition object-detection
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
$endgroup$
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
The YOLO model splits the image into smaller boxes and each box is responsible for predicting 5 bounding boxes.
My question is how does the model make these bounding boxes for every grid cell ? Does each box have a predefined offset with respect to say the center of the grid cell.
I AM NOT TALKING ABOUT THE FINAL BOUNDING BOX THAT ENCLOSES THE OBJECT
I am talking about the 5 predicting bounding boxes that are present for each grid cell.
Like for example if the smaller grid cell is located at say 50x50 (the center of it) then the bounding boxes should be at (50+5)x(50+5) or something like that
If not then how do the bounding boxes come to be ?
Paper - https://arxiv.org/pdf/1506.02640.pdf
deep-learning classification computer-vision object-recognition object-detection
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
$endgroup$
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
The YOLO model splits the image into smaller boxes and each box is responsible for predicting 5 bounding boxes.
My question is how does the model make these bounding boxes for every grid cell ? Does each box have a predefined offset with respect to say the center of the grid cell.
I AM NOT TALKING ABOUT THE FINAL BOUNDING BOX THAT ENCLOSES THE OBJECT
I am talking about the 5 predicting bounding boxes that are present for each grid cell.
Like for example if the smaller grid cell is located at say 50x50 (the center of it) then the bounding boxes should be at (50+5)x(50+5) or something like that
If not then how do the bounding boxes come to be ?
Paper - https://arxiv.org/pdf/1506.02640.pdf
deep-learning classification computer-vision object-recognition object-detection
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
$endgroup$
The YOLO model splits the image into smaller boxes and each box is responsible for predicting 5 bounding boxes.
My question is how does the model make these bounding boxes for every grid cell ? Does each box have a predefined offset with respect to say the center of the grid cell.
I AM NOT TALKING ABOUT THE FINAL BOUNDING BOX THAT ENCLOSES THE OBJECT
I am talking about the 5 predicting bounding boxes that are present for each grid cell.
Like for example if the smaller grid cell is located at say 50x50 (the center of it) then the bounding boxes should be at (50+5)x(50+5) or something like that
If not then how do the bounding boxes come to be ?
Paper - https://arxiv.org/pdf/1506.02640.pdf
deep-learning classification computer-vision object-recognition object-detection
deep-learning classification computer-vision object-recognition object-detection
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
asked Oct 21 '18 at 19:44
Tanmay BhatnagarTanmay Bhatnagar
1412
1412
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 2 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
I think Andrew Ng's explanation might help you get a better understanding of the algorithm. Scan through the playlist, it explains YOLO in a very simple way and perhaps read the paper again once you have watched the video to get a complete understanding of how things work.
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
$endgroup$
add a comment |
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1 Answer
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1 Answer
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oldest
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$begingroup$
I think Andrew Ng's explanation might help you get a better understanding of the algorithm. Scan through the playlist, it explains YOLO in a very simple way and perhaps read the paper again once you have watched the video to get a complete understanding of how things work.
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
$endgroup$
add a comment |
$begingroup$
I think Andrew Ng's explanation might help you get a better understanding of the algorithm. Scan through the playlist, it explains YOLO in a very simple way and perhaps read the paper again once you have watched the video to get a complete understanding of how things work.
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
$endgroup$
add a comment |
$begingroup$
I think Andrew Ng's explanation might help you get a better understanding of the algorithm. Scan through the playlist, it explains YOLO in a very simple way and perhaps read the paper again once you have watched the video to get a complete understanding of how things work.
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
$endgroup$
I think Andrew Ng's explanation might help you get a better understanding of the algorithm. Scan through the playlist, it explains YOLO in a very simple way and perhaps read the paper again once you have watched the video to get a complete understanding of how things work.
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
answered Oct 22 '18 at 8:15
Saket Kumar SinghSaket Kumar Singh
1362
1362
add a comment |
add a comment |
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