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| Bev_lane - v8 2025-07-10 4:20am |
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| This dataset was exported via roboflow.com on July 10, 2025 at 12:09 AM GMT |
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| Roboflow is an end-to-end computer vision platform that helps you |
| * collaborate with your team on computer vision projects |
| * collect & organize images |
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| For state of the art Computer Vision training notebooks you can use with this dataset, |
| 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 7467 images. |
| Lane-0po4 are annotated in COCO Segmentation format. |
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| The following pre-processing was applied to each image: |
| * Auto-orientation of pixel data (with EXIF-orientation stripping) |
| * Resize to 640x640 (Stretch) |
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| The following augmentation was applied to create 5 versions of each source image: |
| * Random shear of between -10° to +10° horizontally and -10° to +10° vertically |
| * Random brigthness adjustment of between -25 and +25 percent |
| * Random exposure adjustment of between -10 and +10 percent |
| * Random Gaussian blur of between 0 and 2.5 pixels |
| * Salt and pepper noise was applied to 0.1 percent of pixels |
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