duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset

这是一个用于训练YOLOv8模型的多类对象检测数据集，包含1000张图像。数据集的图像和标签都是由3D艺术家制作的数字双生，与真实世界中的物体不可区分，使得基于这些数据的训练可以转移到现实世界的应用中。数据集通过FalconEditor软件可以轻松创建具有不同光照、姿态、遮挡、背景、相机位置等的数千张图像，这有助于模型的健壮训练。标签与数据一同创建，确保了高度的准确性和可靠性。数据集采用Apache-2.0许可。

This is a multiclass object detection dataset used to train YOLOv8 models, containing 1000 images. The images and labels in the dataset are created by 3D artists as digital twins, indistinguishable from real-world objects, allowing the training based on this data to transfer into real-world applications. The dataset can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more using the FalconEditor software, which aids in robust model training. The labels are created alongside the data, ensuring high accuracy and reliability. The dataset is licensed under Apache-2.0.