I've trained an object detection model with custom vision, with data that I have labeled with the interface and I was wondering if I could export these labels. I looked around to see if we can but I didn't find any information about this.
I have exported the model but now I want the labeled data. Does anyone have a clue on how to do this?
Thank you
The GetTaggedImages method return all the images with their bounding boxes.
Reference: https://westeurope.dev.cognitive.microsoft.com/docs/services/Custom_Vision_Training_3.0/operations/5c771cdcbf6a2b18a0c3b7fc
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UseCase: I'm trying to extract certain parts of a screenshot which is taken from a game (with a tf object detection model) and extract the text within this part (custom model for the font used in the game).
I have trained a custom model based on SSD Mobilenet V2 and the object detection works quite okish, but sometimes the bounding box is off. I googled about selecting the right images and the right amount for training the custom model, but I couldn't find a good hint in the right direction.
I try to extract the following (surrounded by red):
The environmen can change:
Resolution of the game can be different (1920x1080, WHQD etc.)
Text in the box is not always the same
I have trained with 120 self made images (1920x1080) (90% for training 10% for test) (all of these images where a screenshot of the game) and as I mentioned the results are okish. Sometimes the detected area is off (cutting the content of the box or including a lot area of the box surroundings).
Maybe someone can help me/answering the following questions:
Could a bigger training dataset increase the accuracy?
Should I also take different resolutions into account when creating the training data?
Would it make sense to feed only the boxes without the rest of the game screenshot into the training? Or should I mix screenshots of the whole game and only box screenshots?
Thank you in advance ! :)
I'm looking to make yolov5 detect.py output the size of the objects found inside the bounding boxes. However, I cannot find the correct variable, can anyone help?
Thanks in advance!
link to code in github : https://github.com/ultralytics/yolov5/blob/master/detect.py
Every tutorial I find involves using a pre-made, but the project I'm trying to do is image segmentation on pictures if playing cards. The dataset will be one I create but I'm finding little to no resources about creating the dataset and needed image masks. Any help would be great!
I use Gimp (https://www.gimp.org/) with layers. You can use several useful tools, such as the "BucketFill", to quickly color a region. Then you just have to export the layers to a new file to obtain the mask. VGG image annotator is also useful (https://www.robots.ox.ac.uk/~vgg/software/via/via-1.0.6.html)
For 3D images you can use VTK and ITKsnap (http://www.itksnap.org/pmwiki/pmwiki.php) for volume identification, visualization and exporting. MIPAV (https://mipav.cit.nih.gov/) is also useful.
VGG Image Annotator (VIA), here is a quick demo. There is also labelme
The ILSVRC 2012 small classification dataset is not separated by folder and don't have a labels file. How get the labels for the training set?
I tried on nonpub downloads page but does not exist anymore, and i tried by the filenames but their don't have the synset id on it.
I've been having the same issue today following this tutorial on reproducing ImageNet Validation results. I think I've found an answer, even if partial
In the article they point out to this link to get the validation set for object detection. I downloaded it and had the same issue as yourself, it only contains images without labels. What I've found is that this same website had this other link for the bounding boxes. I've downloaded it and alongside with the bboxes it comes with the proper class for each image
Hope this helps!
Let's say you enter these parameters. Which method of the "ArcGISImageServiceLayer" class can serve to display the image of the mosaic dataset? In the attached image the result is an image, but I do not know how to visualize it on the map.
Part of my code is this, I used the "queryVisibleRasters" method to try to visualize it, but it did not work, any suggestions are very well received, thanks