货物识别准确率测试数据集

搭建了多个包裹运动场景，分别为400*300*200的标准箱，300*200*150的标准箱等几种情况。现场测量不同箱体高度等具体尺寸，拍照存档。用于后期测试环境的确认和验证。根据搭建的现场环境，进行实际测量后，登记环境数据，整理统计测试结果数据，并对结果数据进行评审验证。调现场环境搭建合理性以及测试数据的分析评审，经过公司多部门讨论验证，评审后通过，并经过测试机构认证Multiple parcel movement scenarios were established, including standard cartons with dimensions of 400*300*200, 300*200*150, and other similar specifications. Specific dimensions such as the height of each carton were measured on-site, and photos were taken for archival storage. This setup was intended for the subsequent confirmation and validation of the test environment. Based on the constructed on-site environment, actual measurements were conducted first, followed by the registration of environmental data, organization and statistical analysis of test result data, as well as review and validation of the result data. The rationality of the on-site environment setup was optimized, and analysis and review of the test data were performed. After discussion and validation by multiple departments of the company, the review was passed, and the setup was certified by a testing institution.

搜集汇总

背景与挑战

背景概述

该数据集用于测试货物识别的准确率，包含多种标准箱体运动场景的测量数据，经过实际环境搭建、数据采集和评审验证。它适用于机器视觉、人工智能等领域的算法测试与分析，数据量为27.75MB，由杭州海康机器人股份有限公司提供。