A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture

本数据集名为‘A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture’，由浙江实验室创建，专注于实例检测领域。数据集包含100个不同物体的24个视角的高分辨率（6k×8k）图像，用于训练和测试。这些图像模拟了真实世界场景，如室内机器人的导航。数据集的创建过程涉及使用Leica相机捕捉图像，并通过QR码进行姿态估计。该数据集的应用领域包括机器人辅助、物体识别等，旨在提高实例检测的准确性和效率。

This dataset, named *A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture*, was developed by Zhejiang Lab and specializes in the domain of instance detection. It contains high-resolution (6k×8k) images captured from 24 viewpoints of 100 distinct objects, intended for model training and testing. These images emulate real-world scenarios including indoor robot navigation. The dataset's development workflow leverages Leica cameras for image acquisition and QR code-based pose estimation. Its application areas cover robot assistance, object recognition and other related fields, aiming to enhance the accuracy and efficiency of instance detection.

搜集汇总

背景与挑战

背景概述

本数据集由浙江实验室创建，专注于实例检测，包含100个不同物体的24个视角高分辨率图像（6k×8k），模拟真实世界场景如室内机器人导航。数据通过Leica相机和QR码姿态估计捕捉，应用于机器人辅助和物体识别，旨在提高实例检测的准确性和效率。