Watermark YOLO v10 Model
V2.0 final version
Trained on 8k manually tagged images + 9k augmented data from w6_janf (I excluded document images, as they are out the scope)
I am not sure whether adetailer supports yolov10 or not. but I assume anyone who would want to use this probably are not using A1111
V1.0
This model was trained on 8,000 manually tagged images. It was developed for personal use, and therefore, may not be suitable for all use cases. While it performs well within the scope of its training data (90% human), please use it with caution as it might not handle every scenario effectively. Use with caution
Description
V2.0
FAQ
Comments (3)
Downloading now. This could become required for all my images.
The question might seem a bit silly, but how do I use this in practice? I understand it's an adetailer model. Do I just put the file in the models folder and, for example, place the image in the img2img tab, activate the adetailer, and then...?
Trying to use this on the latest version of ultralytics (8.2.66) causes an error: Can't get attribute 'v10DetectLoss' on <module 'ultralytics.utils.loss'
According to the devs (https://github.com/ultralytics/ultralytics/issues/13931), retraining the model on the latest version is the only solution.. Are you willing to do that?
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Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.