albumentations VS fontsource

Compare albumentations vs fontsource and see what are their differences.

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 (by albumentations-team)
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albumentations fontsource
28 40
13,451 4,587
1.1% 1.7%
8.9 9.1
2 days ago 16 days ago
Python TypeScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

albumentations

Posts with mentions or reviews of albumentations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-06.

fontsource

Posts with mentions or reviews of fontsource. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-28.

What are some alternatives?

When comparing albumentations and fontsource you can also consider the following projects:

imgaug - Image augmentation for machine learning experiments.

Google Fonts - Font files available from Google Fonts, and a public issue tracker for all things Google Fonts

YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model

fontfaceobserver - Webfont loading. Simple, small, and efficient.

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

juliamono - repository for JuliaMono, a monospaced font with reasonable Unicode support.

autoalbument - AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

netlify-menubar - Netlify menubar app to receive build information or trigger new builds

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

leerob.io - ✨ My portfolio built with Next.js, Tailwind, and Vercel.

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

MeetingBar - 🇺🇦 Your meetings at your fingertips in the macOS menu bar