玉米黄曲霉素识别数据集，均使用原始图片进行coco人工标注，验证准确率可以达到93.8％以上.zip

MycoDetect - v7 2024-10-14 hist-low_fusa-432img ============================== This dataset was exported via roboflow.com on December 14, 2024 at 7:21 AM GMT Roboflow is an end-to-end computer vision platform that helps you * collaborate with your team on computer vision projects * collect & organize images * understand and search unstructured image data * annotate, and create datasets * export, train, and deploy computer vision models * use active learning to improve your dataset over time For state of the art Computer Vision training notebooks you can use with this dataset, visit https://github.com/roboflow/notebooks To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com The dataset includes 432 images. Mycotoxins are annotated in COCO format. The following pre-processing was applied to each image: * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * Auto-contrast via histogram equalization The following augmentation was applied to create 7 versions of each source image: * 50% probability of horizontal flip * 50% probability of vertical flip * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random rotation of between -15 and +15 degrees * Random shear of between -10° to +10° horizontally and -10° to +10° vertically