Ultralytics
/
ultralytics
connected to https://github.com/ultralytics/ultralytics.git


  
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            # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
"""
Module for YOLO model metadata.

This module stores detailed metadata for various YOLO models including authors, organizations,
publication dates, arXiv links, GitHub repositories, documentation URLs, and performance metrics.
When executed as a script, it serializes this metadata to a JSON file named "model_data.json".

Examples:
    >>> python model_metadata.py
"""

# Dictionary containing metadata for various models
data = {
    "YOLO12": {
        "author": "Yunjie Tian, Qixiang Ye, and David Doermann",
        "org": "University at Buffalo and University of Chinese Academy of Sciences",
        "date": "2025-02-18",
        "arxiv": "https://arxiv.org/abs/2502.12524",
        "github": "https://github.com/sunsmarterjie/yolov12",
        "docs": "https://docs.ultralytics.com/models/yolo12/",
        "performance": {
            "n": {"size": 640, "map": 40.6, "cpu": "", "t4": 1.64, "params": 2.6, "flops": 6.5},
            "s": {"size": 640, "map": 48.0, "cpu": "", "t4": 2.61, "params": 9.3, "flops": 21.4},
            "m": {"size": 640, "map": 52.5, "cpu": "", "t4": 4.86, "params": 20.2, "flops": 67.5},
            "l": {"size": 640, "map": 53.7, "cpu": "", "t4": 6.77, "params": 26.4, "flops": 88.9},
            "x": {"size": 640, "map": 55.2, "cpu": "", "t4": 11.79, "params": 59.1, "flops": 199.0},
        },
    },
    "YOLO11": {
        "author": "Glenn Jocher and Jing Qiu",
        "org": "Ultralytics",
        "date": "2024-09-27",
        "arxiv": None,
        "github": "https://github.com/ultralytics/ultralytics",
        "docs": "https://docs.ultralytics.com/models/yolo11/",
        "performance": {
            "n": {"size": 640, "map": 39.5, "cpu": 56.1, "t4": 1.5, "params": 2.6, "flops": 6.5},
            "s": {"size": 640, "map": 47.0, "cpu": 90.0, "t4": 2.5, "params": 9.4, "flops": 21.5},
            "m": {"size": 640, "map": 51.5, "cpu": 183.2, "t4": 4.7, "params": 20.1, "flops": 68.0},
            "l": {"size": 640, "map": 53.4, "cpu": 238.6, "t4": 6.2, "params": 25.3, "flops": 86.9},
            "x": {"size": 640, "map": 54.7, "cpu": 462.8, "t4": 11.3, "params": 56.9, "flops": 194.9},
        },
    },
    "YOLOv10": {
        "author": "Ao Wang, Hui Chen, Lihao Liu, et al.",
        "org": "Tsinghua University",
        "date": "2024-05-23",
        "arxiv": "https://arxiv.org/abs/2405.14458",
        "github": "https://github.com/THU-MIG/yolov10",
        "docs": "https://docs.ultralytics.com/models/yolov10/",
        "performance": {
            "n": {"size": 640, "map": 39.5, "cpu": "", "t4": 1.56, "params": 2.3, "flops": 6.7},
            "s": {"size": 640, "map": 46.7, "cpu": "", "t4": 2.66, "params": 7.2, "flops": 21.6},
            "m": {"size": 640, "map": 51.3, "cpu": "", "t4": 5.48, "params": 15.4, "flops": 59.1},
            "b": {"size": 640, "map": 52.7, "cpu": "", "t4": 6.54, "params": 24.4, "flops": 92.0},
            "l": {"size": 640, "map": 53.3, "cpu": "", "t4": 8.33, "params": 29.5, "flops": 120.3},
            "x": {"size": 640, "map": 54.4, "cpu": "", "t4": 12.2, "params": 56.9, "flops": 160.4},
        },
    },
    "YOLOv9": {
        "author": "Chien-Yao Wang and Hong-Yuan Mark Liao",
        "org": "Institute of Information Science, Academia Sinica, Taiwan",
        "date": "2024-02-21",
        "arxiv": "https://arxiv.org/abs/2402.13616",
        "github": "https://github.com/WongKinYiu/yolov9",
        "docs": "https://docs.ultralytics.com/models/yolov9/",
        "performance": {
            "t": {"size": 640, "map": 38.3, "cpu": "", "t4": 2.3, "params": 2.0, "flops": 7.7},
            "s": {"size": 640, "map": 46.8, "cpu": "", "t4": 3.54, "params": 7.1, "flops": 26.4},
            "m": {"size": 640, "map": 51.4, "cpu": "", "t4": 6.43, "params": 20.0, "flops": 76.3},
            "c": {"size": 640, "map": 53.0, "cpu": "", "t4": 7.16, "params": 25.3, "flops": 102.1},
            "e": {"size": 640, "map": 55.6, "cpu": "", "t4": 16.77, "params": 57.3, "flops": 189.0},
        },
    },
    "YOLOv8": {
        "author": "Glenn Jocher, Ayush Chaurasia, and Jing Qiu",
        "org": "Ultralytics",
        "date": "2023-01-10",
        "arxiv": None,
        "github": "https://github.com/ultralytics/ultralytics",
        "docs": "https://docs.ultralytics.com/models/yolov8/",
        "performance": {
            "n": {"size": 640, "map": 37.3, "cpu": 80.4, "t4": 1.47, "params": 3.2, "flops": 8.7},
            "s": {"size": 640, "map": 44.9, "cpu": 128.4, "t4": 2.66, "params": 11.2, "flops": 28.6},
            "m": {"size": 640, "map": 50.2, "cpu": 234.7, "t4": 5.86, "params": 25.9, "flops": 78.9},
            "l": {"size": 640, "map": 52.9, "cpu": 375.2, "t4": 9.06, "params": 43.7, "flops": 165.2},
            "x": {"size": 640, "map": 53.9, "cpu": 479.1, "t4": 14.37, "params": 68.2, "flops": 257.8},
        },
    },
    "YOLOv7": {
        "author": "Chien-Yao Wang, Alexey Bochkovskiy, and Hong-Yuan Mark Liao",
        "org": "Institute of Information Science, Academia Sinica, Taiwan",
        "date": "2022-07-06",
        "arxiv": "https://arxiv.org/abs/2207.02696",
        "github": "https://github.com/WongKinYiu/yolov7",
        "docs": "https://docs.ultralytics.com/models/yolov7/",
        "performance": {
            "l": {"size": 640, "map": 51.4, "cpu": "", "t4": 6.84, "params": 36.9, "flops": 104.7},
            "x": {"size": 640, "map": 53.1, "cpu": "", "t4": 11.57, "params": 71.3, "flops": 189.9},
        },
    },
    "YOLOv6-3.0": {
        "author": "Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, and Xiangxiang Chu",
        "org": "Meituan",
        "date": "2023-01-13",
        "arxiv": "https://arxiv.org/abs/2301.05586",
        "github": "https://github.com/meituan/YOLOv6",
        "docs": "https://docs.ultralytics.com/models/yolov6/",
        "performance": {
            "n": {"size": 640, "map": 37.5, "cpu": "", "t4": 1.17, "params": 4.7, "flops": 11.4},
            "s": {"size": 640, "map": 45.0, "cpu": "", "t4": 2.66, "params": 18.5, "flops": 45.3},
            "m": {"size": 640, "map": 50.0, "cpu": "", "t4": 5.28, "params": 34.9, "flops": 85.8},
            "l": {"size": 640, "map": 52.8, "cpu": "", "t4": 8.95, "params": 59.6, "flops": 150.7},
        },
    },
    "YOLOv5": {
        "author": "Glenn Jocher",
        "org": "Ultralytics",
        "date": "2020-06-26",
        "arxiv": None,
        "github": "https://github.com/ultralytics/yolov5",
        "docs": "https://docs.ultralytics.com/models/yolov5/",
        "performance": {
            "n": {"size": 640, "map": 28.0, "cpu": 73.6, "t4": 1.12, "params": 2.6, "flops": 7.7},
            "s": {"size": 640, "map": 37.4, "cpu": 120.7, "t4": 1.92, "params": 9.1, "flops": 24.0},
            "m": {"size": 640, "map": 45.4, "cpu": 233.9, "t4": 4.03, "params": 25.1, "flops": 64.2},
            "l": {"size": 640, "map": 49.0, "cpu": 408.4, "t4": 6.61, "params": 53.2, "flops": 135.0},
            "x": {"size": 640, "map": 50.7, "cpu": 763.2, "t4": 11.89, "params": 97.2, "flops": 246.4},
        },
    },
    "PP-YOLOE+": {
        "author": "PaddlePaddle Authors",
        "org": "Baidu",
        "date": "2022-04-02",
        "arxiv": "https://arxiv.org/abs/2203.16250",
        "github": "https://github.com/PaddlePaddle/PaddleDetection/",
        "docs": "https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.8.1/configs/ppyoloe/README.md",
        "performance": {
            "t": {"size": 640, "map": 39.9, "cpu": "", "t4": 2.84, "params": 4.85, "flops": 19.15},
            "s": {"size": 640, "map": 43.7, "cpu": "", "t4": 2.62, "params": 7.93, "flops": 17.36},
            "m": {"size": 640, "map": 49.8, "cpu": "", "t4": 5.56, "params": 23.43, "flops": 49.91},
            "l": {"size": 640, "map": 52.9, "cpu": "", "t4": 8.36, "params": 52.20, "flops": 110.07},
            "x": {"size": 640, "map": 54.7, "cpu": "", "t4": 14.3, "params": 98.42, "flops": 206.59},
        },
    },
    "DAMO-YOLO": {
        "author": "Xianzhe Xu, Yiqi Jiang, Weihua Chen, Yilun Huang, Yuan Zhang, and Xiuyu Sun",
        "org": "Alibaba Group",
        "date": "2022-11-23",
        "arxiv": "https://arxiv.org/abs/2211.15444v2",
        "github": "https://github.com/tinyvision/DAMO-YOLO",
        "docs": "https://github.com/tinyvision/DAMO-YOLO/blob/master/README.md",
        "performance": {
            "t": {"size": 640, "map": 42.0, "cpu": "", "t4": 2.32, "params": 8.5, "flops": 18.1},
            "s": {"size": 640, "map": 46.0, "cpu": "", "t4": 3.45, "params": 16.3, "flops": 37.8},
            "m": {"size": 640, "map": 49.2, "cpu": "", "t4": 5.09, "params": 28.2, "flops": 61.8},
            "l": {"size": 640, "map": 50.8, "cpu": "", "t4": 7.18, "params": 42.1, "flops": 97.3},
        },
    },
    "YOLOX": {
        "author": "Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun",
        "org": "Megvii",
        "date": "2021-07-18",
        "arxiv": "https://arxiv.org/abs/2107.08430",
        "github": "https://github.com/Megvii-BaseDetection/YOLOX",
        "docs": "https://yolox.readthedocs.io/en/latest/",
        "performance": {
            "nano": {"size": 416, "map": 25.8, "cpu": "", "t4": "", "params": 0.91, "flops": 1.08},
            "tiny": {"size": 416, "map": 32.8, "cpu": "", "t4": "", "params": 5.06, "flops": 6.45},
            "s": {"size": 640, "map": 40.5, "cpu": "", "t4": 2.56, "params": 9.0, "flops": 26.8},
            "m": {"size": 640, "map": 46.9, "cpu": "", "t4": 5.43, "params": 25.3, "flops": 73.8},
            "l": {"size": 640, "map": 49.7, "cpu": "", "t4": 9.04, "params": 54.2, "flops": 155.6},
            "x": {"size": 640, "map": 51.1, "cpu": "", "t4": 16.1, "params": 99.1, "flops": 281.9},
        },
    },
    "RTDETRv2": {
        "author": "Wenyu Lv, Yian Zhao, Qinyao Chang, Kui Huang, Guanzhong Wang, and Yi Liu",
        "org": "Baidu",
        "date": "2023-04-17",
        "arxiv": "https://arxiv.org/abs/2304.08069",
        "github": "https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetrv2_pytorch",
        "docs": "https://github.com/lyuwenyu/RT-DETR/tree/main/rtdetrv2_pytorch#readme",
        "performance": {
            "s": {"size": 640, "map": 48.1, "cpu": "", "t4": 5.03, "params": 20, "flops": 60},
            "m": {"size": 640, "map": 51.9, "cpu": "", "t4": 7.51, "params": 36, "flops": 100},
            "l": {"size": 640, "map": 53.4, "cpu": "", "t4": 9.76, "params": 42, "flops": 136},
            "x": {"size": 640, "map": 54.3, "cpu": "", "t4": 15.03, "params": 76, "flops": 259},
        },
    },
    "EfficientDet": {
        "author": "Mingxing Tan, Ruoming Pang, and Quoc V. Le",
        "org": "Google",
        "date": "2019-11-20",
        "arxiv": "https://arxiv.org/abs/1911.09070",
        "github": "https://github.com/google/automl/tree/master/efficientdet",
        "docs": "https://github.com/google/automl/tree/master/efficientdet#readme",
        "performance": {
            "d0": {"size": 640, "map": 34.6, "cpu": 10.2, "t4": 3.92, "params": 3.9, "flops": 2.54},
            "d1": {"size": 640, "map": 40.5, "cpu": 13.5, "t4": 7.31, "params": 6.6, "flops": 6.10},
            "d2": {"size": 640, "map": 43.0, "cpu": 17.7, "t4": 10.92, "params": 8.1, "flops": 11.0},
            "d3": {"size": 640, "map": 47.5, "cpu": 28.0, "t4": 19.59, "params": 12.0, "flops": 24.9},
            "d4": {"size": 640, "map": 49.7, "cpu": 42.8, "t4": 33.55, "params": 20.7, "flops": 55.2},
            "d5": {"size": 640, "map": 51.5, "cpu": 72.5, "t4": 67.86, "params": 33.7, "flops": 130.0},
            "d6": {"size": 640, "map": 52.6, "cpu": 92.8, "t4": 89.29, "params": 51.9, "flops": 226.0},
            "d7": {"size": 640, "map": 53.7, "cpu": 122.0, "t4": 128.07, "params": 51.9, "flops": 325.0},
        },
    },
    "Gold-YOLO": {
        "author": "Cheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, and Kai Han",
        "org": "Huawei Noah's Ark Lab",
        "date": "2023-09-20",
        "arxiv": "https://arxiv.org/abs/2309.11331",
        "github": "https://github.com/huawei-noah/Efficient-Computing/tree/master/Detection/Gold-YOLO",
        "docs": "https://github.com/huawei-noah/Efficient-Computing/blob/master/Detection/Gold-YOLO/README.md",
        "performance": {
            "n": {"size": 640, "map": 39.9, "cpu": "", "t4": 1.66, "params": 5.6, "flops": 12.1},
            "s": {"size": 640, "map": 46.4, "cpu": "", "t4": 3.43, "params": 21.5, "flops": 46.0},
            "m": {"size": 640, "map": 51.1, "cpu": "", "t4": 6.43, "params": 41.3, "flops": 87.5},
            "l": {"size": 640, "map": 53.3, "cpu": "", "t4": 10.64, "params": 75.1, "flops": 151.7},
        },
    },
    "D-FINE": {
        "author": "Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, and Feng Wu",
        "org": "University of Science and Technology of China",
        "date": "2024-10-17",
        "arxiv": "https://arxiv.org/abs/2410.13842",
        "github": "https://github.com/Peterande/D-FINE",
        "docs": "https://github.com/Peterande/D-FINE/blob/master/README.md",
        "performance": {
            "n": {"size": 640, "map": 42.8, "cpu": "", "t4": 2.28, "params": 4, "flops": 7},
            "s": {"size": 640, "map": 48.5, "cpu": "", "t4": 4.19, "params": 10, "flops": 25},
            "m": {"size": 640, "map": 52.3, "cpu": "", "t4": 6.85, "params": 19, "flops": 57},
            "l": {"size": 640, "map": 54.0, "cpu": "", "t4": 9.50, "params": 31, "flops": 91},
            "x": {"size": 640, "map": 55.8, "cpu": "", "t4": 15.04, "params": 62, "flops": 202},
        },
    },
    "YOLO-World": {
        "author": "Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, and Ying Shan",
        "org": "Tencent AILab Computer Vision Center",
        "date": "2024-01-30",
        "arxiv": "https://arxiv.org/abs/2401.17270",
        "github": "https://github.com/AILab-CVC/YOLO-World",
        "docs": "https://docs.ultralytics.com/models/yolo-world/",
        "performance": {
            "s": {"size": 640, "map": 46.1, "cpu": "", "t4": 3.46, "params": 12.7, "flops": 51.0},
            "m": {"size": 640, "map": 51.0, "cpu": "", "t4": 7.26, "params": 28.4, "flops": 110.5},
            "l": {"size": 640, "map": 53.9, "cpu": "", "t4": 11.00, "params": 46.8, "flops": 204.5},
            "x": {"size": 640, "map": 54.7, "cpu": "", "t4": 17.24, "params": 72.88, "flops": 309.3},
        },
    },
    "RTMDet": {
        "author": "Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong Zhang, and Kai Chen",
        "org": "OpenMMLab",
        "date": "2022-12-14",
        "arxiv": "https://arxiv.org/abs/2212.07784",
        "github": "https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet",
        "docs": "https://github.com/open-mmlab/mmdetection/tree/3.x/configs/rtmdet#readme",
        "performance": {
            "t": {"size": 640, "map": 41.1, "cpu": "", "t4": 2.54, "params": 4.8, "flops": 8.1},
            "s": {"size": 640, "map": 44.6, "cpu": "", "t4": 3.18, "params": 8.89, "flops": 14.8},
            "m": {"size": 640, "map": 49.4, "cpu": "", "t4": 6.82, "params": 24.71, "flops": 39.27},
            "l": {"size": 640, "map": 51.5, "cpu": "", "t4": 11.06, "params": 52.3, "flops": 80.23},
            "x": {"size": 640, "map": 52.8, "cpu": "", "t4": 19.66, "params": 94.86, "flops": 141.67},
        },
    },
    "YOLO-NAS": {
        "author": "Shay Aharon, Louis-Dupont, Ofri Masad, Kate Yurkova, Lotem Fridman, Lkdci, Eugene Khvedchenya, Ran Rubin, Natan Bagrov, Borys Tymchenko, Tomer Keren, Alexander Zhilko, and Eran-Deci",
        "org": "Deci AI (acquired by NVIDIA)",
        "date": "2023-05-03",
        "arxiv": None,
        "github": "https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md",
        "docs": "https://docs.ultralytics.com/models/yolo-nas/",
        "performance": {
            "s": {"size": 640, "map": 47.5, "cpu": "", "t4": 3.09, "params": 12.2, "flops": 32.8},
            "m": {"size": 640, "map": 51.6, "cpu": "", "t4": 6.07, "params": 31.9, "flops": 88.9},
            "l": {"size": 640, "map": 52.2, "cpu": "", "t4": 7.84, "params": 42.02, "flops": 121.09},
        },
    },
    "FCOS": {
        "author": "Zhi Tian, Chunhua Shen, Hao Chen, and Tong He",
        "org": "The University of Adelaide",
        "date": "2019-04-02",
        "arxiv": "https://arxiv.org/abs/1904.01355",
        "github": "https://github.com/tianzhi0549/FCOS/",
        "docs": "https://github.com/tianzhi0549/FCOS/?tab=readme-ov-file#installation",
        "performance": {
            "R50": {"size": 800, "map": 36.6, "cpu": "", "t4": 15.18, "params": 32.3, "flops": 250.9},
            "R101": {"size": 800, "map": 39.1, "cpu": "", "t4": 18.91, "params": 51.28, "flops": 346.1},
        },
    },
    "SSD": {
        "author": "Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg",
        "org": "University of North Carolina at Chapel Hill",
        "date": "2015-12-08",
        "arxiv": "https://arxiv.org/abs/1512.02325",
        "github": "https://github.com/weiliu89/caffe/tree/ssd",
        "docs": "https://github.com/weiliu89/caffe/tree/ssd?tab=readme-ov-file#installation",
        "performance": {
            "300": {"size": 300, "map": 25.5, "cpu": "", "t4": 3.97, "params": 34.3, "flops": 68.7},
            "512": {"size": 512, "map": 29.5, "cpu": "", "t4": 8.96, "params": 36.0, "flops": 197.3},
        },
    },
    "RTDETRv3": {
        "author": "Shuo Wang, Chunlong Xia, Feng Lv and Yifeng Shi",
        "org": "Baidu",
        "date": "2024-09-13",
        "arxiv": "https://arxiv.org/abs/2409.08475",
        "github": "https://github.com/clxia12/RT-DETRv3",
        "docs": "https://github.com/clxia12/RT-DETRv3/blob/main/README.md",
        "performance": {
            "s": {"size": 640, "map": 48.1, "cpu": "", "t4": 5.03, "params": 20, "flops": 60},
            "m": {"size": 640, "map": 49.9, "cpu": "", "t4": 7.51, "params": 36, "flops": 100},
            "l": {"size": 640, "map": 53.4, "cpu": "", "t4": 9.76, "params": 42, "flops": 136},
            "x": {"size": 640, "map": 54.6, "cpu": "", "t4": 15.03, "params": 76, "flops": 259},
        },
    },
    "LWDETR": {
        "author": "Qiang Chen, Xiangbo Su, Xinyu Zhang, Jian Wang, Jiahui Chen, Yunpeng Shen, Chuchu Han, Ziliang Chen, Weixiang Xu, Fanrong Li, Shan Zhang, Kun Yao, Errui Ding, Gang Zhang, and Jingdong Wang",
        "org": "Baidu",
        "date": "2024-06-05",
        "arxiv": "https://arxiv.org/abs/2406.03459",
        "github": "https://github.com/Atten4Vis/LW-DETR",
        "docs": "https://github.com/Atten4Vis/LW-DETR/blob/main/README.md",
        "performance": {
            "t": {"size": 640, "map": 42.6, "cpu": "", "t4": 2.56, "params": 12.1, "flops": 11.2},
            "s": {"size": 640, "map": 48.0, "cpu": "", "t4": 3.72, "params": 14.6, "flops": 16.6},
            "m": {"size": 640, "map": 52.5, "cpu": "", "t4": 6.59, "params": 28.2, "flops": 42.8},
            "l": {"size": 640, "map": 56.1, "cpu": "", "t4": 10.57, "params": 46.8, "flops": 71.6},
            "x": {"size": 640, "map": 58.3, "cpu": "", "t4": 22.29, "params": 118.0, "flops": 174.1},
        },
    },
}

if __name__ == "__main__":
    import json

    # Save the YOLO model metadata to "model_data.json"
    with open("model_data.json", "w") as f:
        json.dump(data, f)