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Data augmentation strategies for object detection? Could you point me to good resources or best practices you know of?
1 project | reddit.com/r/computervision | 30 Oct 2021
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
1 project | news.ycombinator.com | 5 Oct 2021
Optimization for semantic segmentation!
1 project | reddit.com/r/deeplearning | 6 Sep 2021
[P] Albumentations 1.0 is released (a Python library for image augmentation)
4 projects | reddit.com/r/MachineLearning | 1 Jun 2021
Full release notes: https://github.com/albumentations-team/albumentations/releases/tag/1.0.04 projects | reddit.com/r/MachineLearning | 1 Jun 2021
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.
[Urgent Help] CNN model not working desirably
1 project | reddit.com/r/neuralnetworks | 30 Apr 2021
Image augmentation could help amplify your dataset without needing additional training data. Check out albumentations. It’s super easy.
Searching for MIT CSAIL's IKEA dataset
2 projects | reddit.com/r/deeplearning | 22 Dec 2021
I'm trying to use BlenderProc to automatically generate training data for object recognition.
[P] BlenderProc2: Photorealistic Rendering of Procedurally Generated Scenes
1 project | reddit.com/r/MachineLearning | 17 Oct 2021
[D] What's the best method to generate synthetic data for an image with text? Small dataset
3 projects | reddit.com/r/MachineLearning | 13 Aug 2021
Check this out https://github.com/DLR-RM/BlenderProc. I haven't used it extensively, but it seems to decent for generating synthetic image data.
Apple’s Machine Learning Team Introduces ‘Hypersim’: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
1 project | reddit.com/r/artificial | 1 Aug 2021
Using Blender for Computer Vision
2 projects | reddit.com/r/GraphicsProgramming | 4 Mar 2021
That looks really interesting, have you seen BlenderProc: https://github.com/DLR-RM/BlenderProc it looks really similar just that BlenderProc already supports a vast variety of datasets and is fully documented.
[P] Synthetic Data for CV with Python and Blender
2 projects | reddit.com/r/learnmachinelearning | 4 Mar 2021
If you are beginner I would advise you to check out BlenderProc: https://github.com/DLR-RM/BlenderProc2 projects | reddit.com/r/learnmachinelearning | 4 Mar 2021
Nice project! BlenderProc is another similar project but with more extensive features.
[Detection] Blender (or similar) to generate artificial datasets?
1 project | reddit.com/r/deeplearning | 20 Jan 2021
Photorealistic Rendering And 3d Scene
2 projects | reddit.com/r/3Dmodeling | 27 Sep 2020
What are some alternatives?
imgaug - Image augmentation for machine learning experiments.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
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/
cvlib - A simple, high level, easy to use, open source Computer Vision library for Python.
AugLy - A data augmentations library for audio, image, text, and video.
image-statistics-matching - Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
SickZil-Machine - Manga/Comics Translation Helper Tool