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