--- license: cc-by-4.0 task_categories: - object-detection tags: - wheat-head-detection size_categories: - 10K 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](https://doi.org/10.5281/zenodo.5092309) License: [CC-BY-4.0](https://creativecommons.org/licenses/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.