I have watched the videos several times relating to anchor boxes, yet I can’t really grasp the concept. I understand that anchor boxes have the objective of detecting multiple objects in an yolo box. I also understand that the output is [Pc, Bx, By, Bw, Bh C1, C2, C3, Pc, Bx, By, Bw, Bh C1, C2, C3] …

Let me rephrase the objective of YOLO at first. YOLO is the object recognition application. So, expected output is a combination of a bounding box (square around an object) and an object type. There are multiple steps to generate final outputs, which are multiple bounding boxes and object type f…

Here’s how I think of it. Suppose we want to do classification when there is one object in an image. You can run a CNN forward prop and easily generate a prediction, right? Cat. But how do you deal with images containing two objects when the network only produces a single output? The initial app…

Hi and thank you for you response, unfortunately I am still confused the use of anchor boxes as instead of using anchor boxes it would be much better (in my opinion) if you had the output show a bounding box for each class. Please give me insight into anchor boxes, thanks

Maybe you can elaborate on why your design approach would be better. More accurate? Runs faster? Both? Etc There are two contributions that anchor boxes make to the effectiveness of YOLO. First is that anchor boxes provide reasonable baselines for bound box shape/size predictions. As stated in t…

I am currently learning about YOLO and I have a question about why anchor boxes are needed if you have dimensions of objects already from bx by (midpoint) and bh bw. [Screenshot 2023-10-29 at 6.15.15 PM] This slide is talking about using anchor boxes when you have two objects show up in the same …

I’m not sure I completely understand the question. But I think this slide and discussion is in the context of training. During training you do have all object shape(s) and center location(s). You use them in the loss computation to train the model on which grid cell and anchor box are correct for th…

[Screenshot 2023-10-29 at 9.48.42 PM] Yes it seems abit clear to me now. In this slide are anchor boxes 1 and 2 pre determined shapes that are assigned to a specific class (for examples every car get this shape rectangle)or are they shapes that the network learns from the correct training example…

[image] Stephano_Cotsoradis: are anchor boxes … pre determined shapes that are assigned to a specific class … or are they shapes that the network learns from the correct training example from the parameters (bx by bh bw) Neither of these is precisely correct. Anchor boxes shapes are predet…

@ai_curious so in this situation if the rectangles were applied incorrectly to the wrong objects the two vectors (the output vector from the network and the correct vector from the training example) would be compared and iou would be done with bx by bh bw to adjust them ?

Again, not sure I completely follow the idea in the question, so I’ll just make some assertions and see if that helps. During establishment of training data there is no ‘incorrectly’. Each ground truth object bounding box is centered in exactly one grid cell. Each ground truth object bounding box…

Yolo Anchor Boxes

Course Q&A Deep Learning Specialization Convolutional Neural Networks

ai_curious October 30, 2023, 9:16pm 13

This related thread may also be of interest…you can compare with the explanations I wrote today

Topic		Replies	Views
Number of anchor boxes Convolutional Neural Networks coursera-platform	5	712	October 19, 2024
Week 3 - Car Detection Anchor Boxes Convolutional Neural Networks coursera-platform	14	975	July 11, 2023
Detecting Multiple Objects using YOLO - Grid Cells plus Anchor Boxes Convolutional Neural Networks coursera-platform	6	1768	March 16, 2024
Anchor boxes vs predicted bounded box Convolutional Neural Networks coursera-platform	1	635	September 4, 2022
Where are Anchor Boxes used? Convolutional Neural Networks coursera-platform	7	780	December 14, 2022

Yolo Anchor Boxes

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