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Global Wheat Head Detection (GWHD) dataset
Cite as:
David, Etienne et al. (2020). Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods. Plant Phenomics, 2020. Science Partner Journal.
DOI: 10.5281/zenodo.5092309
License: CC-BY-4.0
Augmentations utilizadas
- HorizontalFlip(p=0.5)
- VerticalFlip(p=0.2)
- Affine(p=0.7, balanced_scale=False, border_mode=0, fill=0.0, fill_mask=0.0, fit_output=False, interpolation=1, keep_ratio=False, mask_interpolation=0, rotate=(-15.0, 15.0), rotate_method='largest_box', scale={'x': (0.8, 1.2), 'y': (0.8, 1.2)}, shear={'x': (-10.0, 10.0), 'y': (-10.0, 10.0)}, translate_percent={'x': (0.1, 0.1), 'y': (0.1, 0.1)}, translate_px=None)
- RandomBrightnessContrast(p=0.3, brightness_by_max=True, brightness_limit=(-0.2, 0.2), contrast_limit=(-0.2, 0.2), ensure_safe_range=False)
- OneOf(p=0.3)
- MotionBlur(p=0.5, allow_shifted=True, angle_range=(0.0, 360.0), blur_limit=(3, 7), direction_range=(-1.0, 1.0))
- GaussianBlur(p=0.5, blur_limit=(0, 7), sigma_limit=(0.5, 3.0))
- ColorJitter(p=0.3, brightness=(0.8, 1.2), contrast=(0.8, 1.2), hue=(-0.1, 0.1), saturation=(0.8, 1.2))
- RandomShadow(p=0.2, num_shadows_limit=(1, 2), shadow_dimension=5, shadow_intensity_range=(0.5, 0.5), shadow_roi=(0.0, 0.5, 1.0, 1.0))
- CoarseDropout(p=0.2, fill=0.0, fill_mask=None, hole_height_range=(0.1, 0.2), hole_width_range=(0.1, 0.2), num_holes_range=(1, 2))
- ImageCompression(p=0.2, compression_type='jpeg', quality_range=(30, 100))
- Resize(p=1.0, area_for_downscale=None, height=640, interpolation=1, mask_interpolation=0, width=640)
O pipeline de augmentations foi implementado com Albumentations.
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