baiduyunguangjia_cfg_A900527E-5BA6-4d22-8E96-E40D5C6EDF61.cfg
收藏DataCite Commons2023-08-07 更新2024-08-18 收录
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https://figshare.com/articles/dataset/baiduyunguangjia_cfg_A900527E-5BA6-4d22-8E96-E40D5C6EDF61_cfg/23899773
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The data set contains three postures of live pigs (standing, lying on their side, and lying on their stomach).The Posture_4520_my_yolo_dataset contains 4520 images. According to the ratio of 8:1:1, the training set (3616), the verification set (452), the test set (452).Posture_7220_my_yolo_dataset, this dataset was obtained by amplification based on 4520 annotated images.The images in the Posture_7220_my_yolo_dataset were relatively good, and the model accuracy was difficult to be further improved. Subsequent experiments suggested that a small number of blocked and crowded samples should be selected for annotation on the basis of the 4520 dataset to further improve the model.
本数据集涵盖生猪的三类姿态:站立、侧卧与趴卧。其中Posture_4520_my_yolo_dataset 共包含4520张图像,按照8:1:1的比例划分为训练集(3616张)、验证集(452张)与测试集(452张)。Posture_7220_my_yolo_dataset 是基于4520张已标注图像经数据扩增得到的数据集,其内部图像整体质量较佳,难以通过该数据集进一步提升模型精度。后续实验表明,在4520数据集的基础上选取少量被遮挡且场景拥挤的样本进行标注,可进一步优化模型性能。
提供机构:
figshare
创建时间:
2023-08-07
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