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BDD100K实例分割部分数据集(含训练和验证集两部分已划分).zip 【数据集说明】 现有的驾驶数据集在视觉内容和支持的任务方面不足,无法研究自动驾驶的多任务学习。研究人员通常被限制在一个数据集上研究一小组问题,而现实世界的计算机视觉应用程序需要执行各种复杂的任务。作者构建了驾驶视频数据集 BDD100K,包含 10 万个视频和 10 个任务,以评估图像识别算法在自动驾驶方面的令人兴奋的进展。该数据集具有地理、环境和天气多样性。 描述: 本数据集选取BDD100K中的实例分割部分,包含训练集验证集和注释。文件夹格式如下: - bdd100k - labels - ins_seg - bitmasks - train - val - colormaps - train - val - polygons - ins_seg_train.
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BDD100K实例分割部分数据集(含训练和验证集两部分已划分).zip (16002个子文件)
ins_seg_train.json 97.78MB
ins_seg_val.json 19.99MB
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