新数据集Car-1000涵盖1000种汽车型号，助力细粒度图像分类研究。
Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset
- 构建包含1000个车款的细粒度汽车图像数据集。
- 覆盖166个汽车品牌，含2013年后新车型，更贴近现实应用。
- 为自动驾驶与交通监控提供新基准，适合视觉识别研究者使用。
细粒度视觉分类（FGVC）是计算机视觉中一项具有挑战性且重要的任务，旨在识别鸟类、汽车、飞机等类别下的子类别。其中，汽车型号识别在自动驾驶、交通监控和场景理解中具有重要应用价值，近年备受关注。然而，当前最常用的斯坦福汽车数据集（Stanford-Car）仅包含196个类别，且车型均来自2013年以前。随着汽车行业近年快速发展，车辆外观日益复杂，旧数据集已无法反映当前真实情况。为此，本文提出Car-1000，一个专为细粒度汽车分类设计的大规模数据集。该数据集涵盖166个汽车制造商生产的1000个不同车型。我们还在该数据集上复现了多个前沿FGVC方法，建立了新的研究基准。我们希望本工作能为未来细粒度视觉分类研究提供新视角。数据集开源地址：https://github.com/toggle1995/Car-1000。
原文摘要 · Abstract (English)
Fine-grained visual categorization (FGVC) is a challenging but significant task in computer vision, which aims to recognize different sub-categories of birds, cars, airplanes, etc. Among them, recognizing models of different cars has significant application value in autonomous driving, traffic surveillance and scene understanding, which has received considerable attention in the past few years. However, Stanford-Car, the most widely used fine-grained dataset for car recognition, only has 196 different categories and only includes vehicle models produced earlier than 2013. Due to the rapid advancements in the automotive industry during recent years, the appearances of various car models have become increasingly intricate and sophisticated. Consequently, the previous Stanford-Car dataset fails to capture this evolving landscape and cannot satisfy the requirements of automotive industry. To address these challenges, in our paper, we introduce Car-1000, a large-scale dataset designed specifically for fine-grained visual categorization of diverse car models. Car-1000 encompasses vehicles from 166 different automakers, spanning a wide range of 1000 distinct car models. Additionally, we have reproduced several state-of-the-art FGVC methods on the Car-1000 dataset, establishing a new benchmark for research in this field. We hope that our work will offer a fresh perspective for future FGVC researchers. Our dataset is available at https://github.com/toggle1995/Car-1000.
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