If you click on edit splits, you can play around with the trainer or valid splits as well as the test and valid split. You can specify the train validation and test split to any amount that you wish. If you want to add in more images you can just click on Add More Images, and then add in the files or folder with respect to your annotations. You can see that we have each piece labeled of each of the images in the dataset. Just to familiarize everyone as to what's going on here, we have 289 Images and you can view the images here. If you have not signed up as yet please do so now and then fork the data set. Click it again and this is so that we can pre-process and augment our data set that may yield better results for our chess piece detection model. Now what I want you to do is to click fork dataset. Click on it and you'll find the data set has around 289 images. So for the chess piece detection, we are going to look for a specific data set over here called Chess Pieces Dataset. I'll leave a link down below for you to access this page directly. What's the first thing that we need? A dataset, right? So you can either annotate your own or you can drag it into raw flow otherwise you can use any one of these computer vision datasets that's already on ROBOFLOW.
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