tfaug
albumentations
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tfaug | albumentations | |
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2 | 28 | |
7 | 13,272 | |
- | 1.8% | |
1.8 | 8.3 | |
about 2 years ago | 6 days ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tfaug
albumentations
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Augment specific classes?
You can use albumentations if you are comfortable with using open source libraries https://github.com/albumentations-team/albumentations
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Ask HN: What side projects landed you a job?
One of the members of the core team of our open-source library https://albumentations.ai/
It was not the only reason he was hired; it was a solid addition to his already good performance at the interviews.
Or at least that is what the hiring manager later said.
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The Lack of Compensation in Open Source Software Is Unsustainable
I am one of the creators and maintainers of https://albumentations.ai/.
- 12800+ stars
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Burn Deep Learning Framework Release 0.7.0: Revamped (de)serialization, optimizer & module overhaul, initial ONNX support and tons of new features.
Is something planned to support data augmentations? Something like https://albumentations.ai/
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What are the best programs/scripts for image augmentation of YOLO5 training dataset. Something like roboflow but free)
I think this is the most popular open source project: https://github.com/albumentations-team/albumentations
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Data augmentation PyTorch transforms for object detection data with bounding boxes
The other common one is Albumentations and many modern object detection models perform online augmentation during the training process.
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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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[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.
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.
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
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
cvlib - A simple, high level, easy to use, open source Computer Vision library for Python.
SickZil-Machine - Manga/Comics Translation Helper Tool
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.