医院跌倒检测识别 使用coco格式对4806张原始图片进行标注，可识别病人跌倒，病人的危险行为，病床等场景，预测准确率可达96....

Fall detector - v1 2024-07-08 1:24pm ============================== This dataset was exported via roboflow.com on September 23, 2024 at 3:55 PM 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 4806 images. Bed-danger-fall-lie-patient are annotated in COCO format. The following pre-processing was applied to each image: * Resize to 640x640 (Stretch) No image augmentation techniques were applied.