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baseball-detection-2 - v4 2023-06-02 3:09pm ============================== This dataset was exported via roboflow.com on April 20, 2024 at 4:56 PM GMT Roboflow is an end-to-end computer vision platform that helps you * collaborate with your team on computer vision projects * collect & organize images * understand and search unstructured image data * annotate, and create datasets * export, train, and deploy computer vision models * use active learning to improve your dataset over time For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com The dataset includes 4153 images. Baseballs are annotated in YOLOv9 format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * Auto-contrast via adaptive equalization The following augmentation was applied to create 2 versions of each source image: * Randomly crop between 0 and 15 percent of the image * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -9 and +9 percent * Salt and pepper noise was applied to 5 percent of pixels |