Link to dataset - - https://s3.us-west-1.wasabisys.com/dphi/public-datasets/Data_Sprint_94_Coin_Identification/coin.zip

The dataset features 6 different classes of Currency Coins. The dataset contains about 1000+ labelled images including the validation images. Each image belongs to only one currency category and are saved in separate folders of the labelled classes

From the above link you will be able to download a zip file named ‘coin.zip’. After you extract this zip file, you will get four files:

Train - contains all the images that are to be used for training your model. In this folder you will find 6 folders’ which contain the images of the respective currency categories
Test - contains 500 images of currency categories. For these images you are required to make predictions as the respective class names.
Testing_set.csv - this is the order of the predictions for each image that is to be submitted on the platform. Make sure the predictions you download are with their image’s filename in the same order as given in this file.
sample_submission: This is a csv file that contains the sample submission for the data sprint.

Submission file format:

The prediction submission file must contain column names: label. Else, it will give an error.

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

filename	label
Image_1.jpg	indian_coins
Image_2.jpg	yen_coins
Image_3.jpg	us_coins
Image_4.jpg	china_coins

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Etc.

Note that the header name should be ‘stab’ else it will throw an evaluation error.

Notebook Submission

Steps to follow to submit your notebook:

Data Sprint 94 - Coin Currency Identification

Challenge Starts

Registration Ends

Challenge Ends