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Thanks for facilitating downloading the dataset, did you annotated the 1 million images or only the 50k are annotated ?
bamal updated
4 years ago
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Description:
This Card explains the **_unet model_** we have made to mark glyph baseline in detail.
Background:
Currently our OCR team is experimenting with scripture font creation. For this we are r…
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I am training custom model . I have four different class to detect (ie Bus, Car, Truck, bike ) video frame of cctv camera in road. I have 3000 images , in which many images have all of these objects. …
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Something i'd wondered about for a while...
Asking around, supposedly it is possible with the standard frameworks to train on images with incomplete annotations, by writing a custom loss (error) fu…
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Currently the mm3_curateTrainingData.py GUI does not indicate whether a given image has already been curated and saved to training data.
Could either:
1. have indicator appear in window to tell yo…
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A broader set of services are starting to consume image annotations. Specifically Azure container scanning honors the lifecycle annotation to treat EOL images specially. As a result, the images prod…
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Hi everyone,
I'm working with a SLEAP file that is approximately 460MB in size. I’m wondering if there’s a way to effectively use such a large file within the app. Any advice or tips would be great…
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I want to box select the corresponding entity on the image and automatically label the entity in the text below. In this way, I only need to annotate on the image, which is easier to annotate.
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Similar to (and possibly to be built upon) https://github.com/golang/go/issues/37475
Images built by ko can automatically be annotated with information about the commit of the source the image was …
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**Describe the solution you'd like**
On mobile, if you tap on an image, it will show full screen. From there, it would be wonderful if Excalidraw would allow to edit the image.
**Describe alternat…
Elaws updated
2 years ago