Accurate Balls Detection

Introduction The dataset includes, 1318 grayscale images and contains highly accuratelyannotated balls. The annotations are available in COCO format. This datasetcan be used to train models to detect any circle-shaped objects, e.g.calibration targets. The dataset is split into: train: 1120 images valid: 128 images test: 76 images Processing and Augmentation The following augmentation was applied to create 2 versions of each source image: Random exposure adjustment of between -10 and +10 percent Random Gaussian blur of between 0 and 1.5 pixels Salt and pepper noise was applied to 3 percent of pixels References This dataset is a subset of the following datasets: kaggle-sports-balls-multiclass-image-classification roboflow-ball-finder Custom recorded images of an exercise ball