2. Image Annotation Tools, Image Dataset, Image Augmentation

Image datasets

1. 1. The CIFAR-10 dataset: https://www.cs.toronto.edu/~kriz/cifar.html, this dataset consists of 60000 32X32 colour images in 10 classes, with 6000 images per class.
   2. PaperWithCode: https://paperswithcode.com/datasets
   3. Kaggle: https://www.kaggle.com/datasets?search=medical&tags=13207-Computer+Vision

Data augmentation

1. 1. Albumnetations Python Library: It supports computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection and pose estimation. Albumentations can work with various deep learning frameworks such as PyTorch and Keras. The library is a part of the PyTorch ecosystem, MMDetection and YOLOv5 use Albumentations. Web Link:  https://albumentations.ai
   2. LabelMe tool: https://github.com/labelmeai/labelme

Some platforms for solving computer vision problems

1. 1. Roboflow (https://roboflow.com/) : for image data augmentation and public image dataset.
   2. Makesense (https://www.makesense.ai/): allows to upload a data set, annotate it according to the goals, and download a set of output files with the annotations in a user defined format.
   3. V7: https://www.v7labs.com/industry/agriculture