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fruit_segmentation - v4 2022-09-14 5:27am |
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This dataset was exported via roboflow.com on September 13, 2022 at 7:28 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 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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It includes 131 images. |
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Fruits are annotated in COCO Segmentation 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 320x320 (Stretch) |
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The following augmentation was applied to create 3 versions of each source image: |
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* 50% probability of horizontal flip |
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* 50% probability of vertical flip |
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* Randomly crop between 0 and 50 percent of the image |
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* Random rotation of between -45 and +45 degrees |
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* Random shear of between -36° to +36° horizontally and -32° to +32° vertically |
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* Salt and pepper noise was applied to 2 percent of pixels |
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