The dataset consists of 5 varieties of soil images in 5 directories or folders. The dataset is a very small dataset meant for beginners to build ML models using this dataset currently. A small dataset helps learn without wasting hefty time A small dataset helps in learning without wasting hefty time in training the model for half an hour or more and expensive computation. The results won't be really great as the dataset is really low and thus overfitting and other issues. A small dataset helps learn without wasting hefty time. A small dataset helps in learning without wasting hefty time in training the model for half an hour or more and expensive computation.
It will be probably updated soon to a larger dataset with better images and collection.
The dataset consists of 5 varieties of soil images in 5 directories or folders. The dataset was made because I was unable to find any reliable image dataset for soil varieties. The dataset will be soon updated to better richness. For which I will be soon crowdsourcing.
The dataset is without annotation, for same another concept of real-time augmentation can be applied.
One can go through this notebook for learning how…
https://www.kaggle.com/prasanshasatpathy/soil-type-image-classification
I have made the initial set of this small dataset. Soon I expect collaborations to increase the size and types of the dataset.
The method for contributing would be released soon.
Better dataset with less complexity and really necessary.
