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In the paper, you stated:
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We design three data augmentation or separation strategies for separately building a structure-focused dataset, a variable-focused dataset, and an API-focused dataset…
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Verify that clicking all buttons produces a reasonable response. Try for all the combinations:
* search with no data
* search with data
And combinations of augmentation:
* the three settings…
szeke updated
4 years ago
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## 🚀 Feature
Modify `kornia.contrib.ExtractTensorPatches` to apply the same operation to masks in `AugmentationSequential`.
## Motivation
In remote sensing it's common to work with imagery wh…
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Hi,
Thanks a lot for sharing your work and instructions for training and inference. I have been trying to train 'dino_vit_small_reg.dpt_raft' on a mini-dataset of my own. I basically modeled it almo…
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Dear DINOv2 team, thank you for this amazing work! If I am correct, I only found the whole pipeline of linear probing for classification on ImageNet in [https://github.com/facebookresearch/dinov2/blob…
ywyue updated
9 months ago
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hi, I want to use data augmentation using albumentation.
(use as data transformer. working like ssdaugmentation)
and I did it. but when training phase, losses are decreasing well but after epoch, whe…
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This is a place to record augmentations which could be made in TMS that, once incorporated into the CIIM, would improve our interoperable data.
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**System information**
- TensorFlow version (you are using): 2.6.0
- Are you willing to contribute it (Yes/No): yes
**Describe the feature and the current behavior/state.**
If a dataset is cac…
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Hey. Is data augmentation supported for object detection tasks?
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I am trying to train AdaFace with my own dataset: a custom folder ('data'), a subfolder called 'imgs' that has a collection of other folders ('folder_001', 'folder_002', etc) with various photos of th…