tfaug
albumentations
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| tfaug | albumentations | |
|---|---|---|
| 2 | 8 | |
| 6 | 10,178 | |
| - | 2.7% | |
| 5.2 | 7.4 | |
| 2 months ago | 17 days ago | |
| Jupyter Notebook | Python | |
| MIT License | MIT License |
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tfaug
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Simple and Efficient Image Dataset Creator
python -m pip install git+https://github.com/piyop/tfaug
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Support creation of tf.data.Dataset (data generator) and augmentation for image.
github link
albumentations
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DATA AUGMENTATION IN NATURAL LANGUAGE PROCESSING
Shuffle Sentences Transform:- it involves the shuffling of sentences in the text to create an augmented version of the original text, this technique can be achieved using the Albumentation package.
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How to further improve validation accuracy in multiclass semantic segmentation
I recommend looking into using Albumentations. It'll really help with your data augmentation.
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Data augmentation strategies for object detection? Could you point me to good resources or best practices you know of?
You can definitely look at Albumentation - we had a ton of success working with this library https://github.com/albumentations-team/albumentations
- Albumentations 1.1.0 Was Released
- Optimization for semantic segmentation!
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[P] Albumentations 1.0 is released (a Python library for image augmentation)
Full release notes: https://github.com/albumentations-team/albumentations/releases/tag/1.0.0
If you want to know what changed in the latest versions, please refer to the [Release Notes](https://github.com/albumentations-team/albumentations/releases) page.
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[Urgent Help] CNN model not working desirably
Image augmentation could help amplify your dataset without needing additional training data. Check out albumentations. It’s super easy.
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
ttach - Image Test Time Augmentation with PyTorch!
image-statistics-matching - Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation
SickZil-Machine - Manga/Comics Translation Helper Tool
cvlib - A simple, high level, easy to use, open source Computer Vision library for Python.
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition