COCO-Annotator标注使用手册

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1、自定义少量数据

(1)加入图片

       对于自定义少量数据,可以通过自己上传的方式,即进入后台启动docker-compose.yml所在的文件夹,能够发现一个外挂的datasets数据集。

        进入数据集,里面是建立的各种datasets,创建数据集也很简单,如下:

 

        加入一张图片,图片通过将本地直接拖到服务器上面的指定目录下面即可,即test,刷新就能看到数据了。

 (2)创建类别

       创建类别,主要是你对图像进行标注的时候,不同区域到底有那些分类,方式如下:

 

 

 

  (3)开始标注

       点击进入dataset,然后开始标注,第一步,点击右侧的类别,然后第二步用高亮的矩形框标注

   (4)下载标注好的数据

       标注完成后需要拿到标注好的数据进行使用,点击下载

       下载后的标注结果:

{
    "images":
    [
        {
            "id": 4,
            "dataset_id": 5,
            "path": "/datasets/test/3.jpg",
            "width": 499,
            "height": 333,
            "file_name": "3.jpg"
        }
    ],
    "categories":
    [
        {
            "id": 82,
            "name": "脸",
            "supercategory": "",
            "color": "#ff0000",
            "metadata":
            {},
            "keypoint_colors":
            []
        },
        {
            "id": 84,
            "name": "屁股",
            "supercategory": "",
            "color": "#56bd0c",
            "metadata":
            {},
            "keypoint_colors":
            []
        }
    ],
    "annotations":
    [
        {
            "id": 16,
            "image_id": 4,
            "category_id": 82,
            "segmentation":
            [
                [
                    97.3,
                    187,
                    97.3,
                    203,
                    81.9,
                    203,
                    81.9,
                    187
                ]
            ],
            "area": 240,
            "bbox":
            [
                82,
                187,
                15,
                16
            ],
            "iscrowd": false,
            "isbbox": true,
            "color": "#31b4d9",
            "keypoints":
            [],
            "metadata":
            {
                "slice1": 1
            }
        },
        {
            "id": 17,
            "image_id": 4,
            "category_id": 82,
            "segmentation":
            [
                [
                    432.4,
                    136.3,
                    432.4,
                    149.4,
                    417.7,
                    149.4,
                    417.7,
                    136.3
                ]
            ],
            "area": 182,
            "bbox":
            [
                418,
                136,
                14,
                13
            ],
            "iscrowd": false,
            "isbbox": true,
            "color": "#0341bb",
            "keypoints":
            [],
            "metadata":
            {
                "slice1": 1
            }
        },
        {
            "id": 18,
            "image_id": 4,
            "category_id": 84,
            "segmentation":
            [
                [
                    256.7,
                    181.7,
                    256.7,
                    198.3,
                    234.8,
                    198.3,
                    234.8,
                    181.7
                ]
            ],
            "area": 352,
            "bbox":
            [
                235,
                182,
                22,
                16
            ],
            "iscrowd": false,
            "isbbox": true,
            "color": "#4cf622",
            "keypoints":
            [],
            "metadata":
            {
                "slice1": 1
            }
        },
        {
            "id": 19,
            "image_id": 4,
            "category_id": 84,
            "segmentation":
            [
                [
                    92.6,
                    214.6,
                    92.6,
                    229,
                    75.7,
                    229,
                    75.7,
                    214.6
                ]
            ],
            "area": 238,
            "bbox":
            [
                76,
                215,
                17,
                14
            ],
            "iscrowd": false,
            "isbbox": true,
            "color": "#e166c2",
            "keypoints":
            [],
            "metadata":
            {
                "slice1": 1
            }
        }
    ]
}

 2、数据集直接按照格式整理

(1)先把图片放到指定位置

(2)上传json文件

{
    "info":
    {
        "description": "img",
        "url": "http://cocodataset.org",
        "version": "1.0",
        "year": 2021,
        "contributor": "this is my sample",
        "date_created": "2021/08/27"
    },
    "images":
    [

        {
            "id": 1,
            "path": "/datasets/demo/1.jpg",
            "width": 1080,
            "height": 808,
            "file_name": "1.jpg"
        }
    ],
    "categories":
    [
        {
            "supercategory": "person",
            "id": 91,
            "name": "face"
        },
        {
            "supercategory": "person",
            "id": 90,
            "name": "leg"
        }
    ]
}

       

 

 

       如上,只要把该文件里面images里面的path路径写对,就可以了,然后刷新