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Description:
I am annotating images using Label Studio with two shapes: rectangles and ellipses. After exporting the data and training the model, I noticed that the annotations for ellipses are missi…
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Thanks for your great work. After doing data exploration, we found that counter: Asian images contain many Indian like images such as
Is that because all the data are inference by BLIP not annot…
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Hi Team,
Hope you're doing great!
Currently, we're engaged in annotating an image, which entails labeling over 70 categories. This task demands additional manual effort. Hence, we're exploring …
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### Description:
Automated approaches to abuse detection rely on annotated datasets. At least at present, unsupervised machine learning alone cannot detect abuse across languages. To fill the gap of …
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**Describe the bug**
When I export with "Coco export". The resulting "result.json" contains bad image width and height. In fact this export do not respect image orientation. So It set width as height…
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Dear authors,
I am attempting to train a depth estimation model on the Tartanair dataset. Since you utilized this dataset in the training process of the teacher model, I would like to respectfully …
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I would like to ask if it is possible to get the joints and bones as presented in the dataset that was introduced on the project page:
![image](https://github.com/user-attachments/assets/d082a018-c…
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Thank you for your contributions. Could you please tell me how to do segmentation-based controlled image generation
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Description:
- To create a usable Tibetan font, we required a set of glyphs, till now we have been extracting the glyphs from Pecha images using Google OCR or data in OPF.
- These methods could not e…
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```
File "/media/lokia/My_Passport/JIANGCHAO/python project/Deep-SfM-Revisited-annotated/flow_transforms.py", line 102, in __call__
scaled_images = [im.resize((scaled_h, scaled_w)) for im in i…