AugLy
imgaug
AugLy | imgaug | |
---|---|---|
14 | 7 | |
4,958 | 14,385 | |
0.2% | - | |
5.7 | 0.0 | |
3 days ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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AugLy
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Meta's A.I. exodus: Top talent quits as lab tries to keep pace with rivals
Their recent effort to generate training data for spotting stuff that includes unsanctioned narratives comes to mind. https://github.com/facebookresearch/AugLy
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Next steps for after classification
Data augmentation is usually helpful: https://github.com/facebookresearch/AugLy
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The hand-picked selection of the best Python libraries released in 2021
AugLy.
- Prefer volume or quality for BERT-based Text classification model
- Augly - An augmentation library for audio, image, video, and text from facebook
- [D] What's the best method to generate synthetic data for an image with text? Small dataset
- AugLy is opensourse now.
- Facebook is open-sourcing AugLy, a library that uses data augmentations to evaluate and improve ML models
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Integration test: Complexity of privacy-preserving bird call bio-sensor for distributed ecological monitoring?
Some of the technologies which could be integrated include differential privacy, distributed online machine learning, misinformation resilience and multi-party computation, all within the context of smart contracts and bioinformatics.
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[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
Facebook Blog: https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/
imgaug
- How to label augmented images for training YOLO algorithm?
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Improve Your Deep Learning Models with Image Augmentation
There are many good options when it comes to tools and libraries for implementing data augmentation into our deep learning pipeline. You could for instance do your own augmentations using NumPy or Pillow. Some of the most popular dedicated libraries for image augmentation include Albumentations, imgaug, and Augmentor. Both TensorFlow and PyTorch even come with their own packages dedicated to image augmentation.
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[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
https://github.com/aleju/imgaug This one is way better for image.
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[UPDATE!] Recognize trinkets with Isaac Item Recognizer! And also a few useful features in my newest update.
I have to improve my dataset with more backgrounds featuring obstacles. At the moment I'm working on creating a dataset with both items and trinkets, and I'm planning on using https://github.com/aleju/imgaug which will replace most of the stuff I'm doing with PIL.
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Support creation of tf.data.Dataset (data generator) and augmentation for image.
Do you acknowledge that there is ImageDataGenerator and ImgAug?
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[P] Albumentations 1.0 is released (a Python library for image augmentation)
Albumentations no longer uses the imgaug library by default. All previous imgaug augmentations in the library are reimplemented in Albumentations with the same API (but you can still install Albumentations with imgaug if you need the old augmentations).
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Bounding boxes do not completely wrap the objects with YOLOv4
I would also recommend you to give a try to TensorFlow Object Detection Model - https://github.com/tensorflow/models/tree/master/research/object_detection with augmentation - https://github.com/aleju/imgaug pipeline. The same worked for me in a similar use case where I had to localise logo on documents.
What are some alternatives?
PySyft - Perform data science on data that remains in someone else's server
albumentations - Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
skweak - skweak: A software toolkit for weak supervision applied to NLP tasks
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
speechbrain - A PyTorch-based Speech Toolkit
tensorflow - An Open Source Machine Learning Framework for Everyone
river - π Online machine learning in Python
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
tfaug - tensorflow easy image augmentation package
evidently - Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/