Questions tagged [mask-rcnn]
For questions about the mask R-CNN model, proposed in the paper "Mask R-CNN" (2018) by Kaiming He et al.
10
questions with no upvoted or accepted answers
2
votes
2
answers
135
views
How to instruct Mask RCNN to identify objects too close to each other?
I have been trying to train a Mask RCNN model to identify individual poker chips in a stack. No matter what property I change, the end results look like the following image. I was guessing the issue ...
- 29
2
votes
0
answers
545
views
Getting bounding box/boundaries from segmentations in UNet Nuclei Segmentation
From my understanding, in a tissue where nuclei are present and need to be detected, we need to predict bounding boxes (either rectangular/circular or in the shape of the nucleus, i.e. as in instance ...
- 159
2
votes
0
answers
1k
views
How much should we augment our training data?
I am wondering how much I should extend my training set with data augmentation. Is there somewhere a pre-defined number I can go with?
Suppose I have 10000 images, can I go as far as 10x or 20x times, ...
- 21
1
vote
1
answer
38
views
possible to combine multiple labeled objects as one object?
So I have labeled the entire skeletal muscles in detail. For example instead of just labeling shoulders I have labeled:
Rear Delt
Middle Delt
Front Delt
but now you want all of the delts to be ...
- 11
1
vote
1
answer
352
views
Mask R-CNN: How are the computed masks projected back to the input image?
The computed masks by Mask R-CNN are of fixed size $m \times m$ each. How are they projected back to the image?
- 21
1
vote
0
answers
269
views
Mask R-CNN: how is the inference done?
According to the Mask R-CNN paper and the picture below (taken from the paper), the mask branch is computed in parallel with the bbox classification and regression branches.
However in the paper they ...
- 21
1
vote
0
answers
33
views
Can I use a Mask R-CNN to detect a skin texture?
I'm trying to implement a solution in python to detect skin in an image.
I'm evaluating the Mask R-CNN model to create a mask on the skin (not on clothes). The problem is that every solution I have ...
- 11
0
votes
0
answers
12
views
Is it a good idea to have a category and its subcategories in the training set of an object segmentation model?
I am currently training an object segmentation model (detectron2 : mask rcnn)
The objective is to detect materials like wood, plastic, glass etc...
wood is one of the categories in my training set.
Is ...
0
votes
0
answers
42
views
Should the number of training iterations of an instance segmentation model depend on the number of instances in the training dataset?
I need to train instance segmentation models on several different datasets. The datasets vary widely in how many instances each image contains.
For example:
...
- 1
0
votes
0
answers
97
views
Improving Mask RCNN by arbitrary scaling head input
Currently, I am looking at how Mask R-CNN works. It has a backbone, RPN, heads, etc. The backbone is used for creating the feature maps, which are then passed to the RPN to create proposals. Those ...
- 101