图片标注数据集文件说明

OCTOPUS格式文件基本要求（图片标注）

上传的OCTOPUS格式数据集需包含以下文件。

.
├─ 时间戳
    ├─ cam0-时间戳.jpg    #该时间戳对应的已标注图片
    ├─ cam1-时间戳.jpg    #该时间戳对应的已标注图片
    ├─ ...
    ├─ 时间戳.json        #该时间戳内该标注图片的所有标注信息

标注数据.json文件说明

数据集中必含“.json”文件，用以集合该时间戳已标注图片的所有标注数据信息，包括该图片所在的项目id、数据包id、图片上所有标注框信息等。上传数据集前请保证“.json”文件内容正确。您可参考以下样例编写“.json”文件。

{
	"sample_type": "IMAGE",
 #样本类型：图片。有IMAGE、POINT_CLOUD和JOINT三种
	"label_user_ids": ["083e18d81600f39a1f48c018646a5697",   
 "08e09ec3960025761fc3c018ca1c3f66"],
 #标注任务的标注人员id集合
	"label_mode": "manual",
 #标注类型，分为auto和manual两种
	"inspect_user_ids": ["083e18d81600f39a1f48c018646a5697"],
 #质检用户id集合
	"label_update_time": 1612342490038,
 #标注任务更新时间
	"project_id": "08229abd258026572f24c01899c784ae",
 #资源域id
	"valid": true,
 #是否是有效图片
	"tags": [57, 42],
 #标签id集合
	"create_time": 1611972782155,
 #标注的创建时间
	"labels": [ {
 #标注信息
		"polygon": {
			"size": 20,
			"points": [{
				"xpoint": 995.1035,
				"ypoint": 720.0
			}, {
				"xpoint": 941.8563,
				"ypoint": 669.6602
			}, {
				"xpoint": 892.8448,
				"ypoint": 620.3461
			}, {
				"xpoint": 844.13574,
				"ypoint": 568.30914
			}, {
				"xpoint": 815.0918,
				"ypoint": 528.3738
			}, {
				"xpoint": 802.6876,
				"ypoint": 504.47305
			}, {
				"xpoint": 793.91394,
				"ypoint": 475.1266
			}, {
				"xpoint": 787.0804,
				"ypoint": 452.15402
			}, {
				"xpoint": 788.4368,
				"ypoint": 446.1024
			}, {
				"xpoint": 791.46265,
				"ypoint": 441.8245
			}, {
				"xpoint": 807.6352,
				"ypoint": 431.07758
			}, {
				"xpoint": 847.4927,
				"ypoint": 420.01764
			}, {
				"xpoint": 834.13727,
				"ypoint": 432.32962
			}, {
				"xpoint": 829.96375,
				"ypoint": 444.64163
			}, {
				"xpoint": 832.25916,
				"ypoint": 452.98874
			}, {
				"xpoint": 872.534,
				"ypoint": 494.30698
			}, {
				"xpoint": 928.04236,
				"ypoint": 538.5467
			}, {
				"xpoint": 1280.0,
				"ypoint": 720.0
			}, {
				"xpoint": 1279.0386,
				"ypoint": 720.0
			}, {
				"xpoint": 995.1035,
				"ypoint": 720.0
			}]
		},
		"name": "ground",
 #标注物名称
		"serial_number": 23,
		"shape_type": "polygon",
 #标注物类型：多边形
		"label_object_id": 23,
		"attribute": "{\"ground\":\"sidewalk\"}",
 #标注物属性
		"label_meta_id": 796
	}],
	"des_order": "1611972780985cid-ZED",
 #标注描述
	"label_task_id": "30883",
 #标注任务ID
	"calibration_id": 15,
 #标定ID
	"status": "labeled",
 #标注任务状态：unlabeled、labeled、unconfirmed、confirmed、all五种
	"plate_no": "cid-ZED",
 #车辆标识
	"difficult": false,
 #是否难例
	"label_counts": [ {
 #标注对象类型的个数统计
		"label_meta_id": 796,
#标注物ID
		"label_meta_attr": "{\"ground\":\"road,sidewalk,parkinglot,parkingspace,track\"}",
		"label_meta_color": "#F44336",
		"label_num": 1,
 #标注物个数
		"label_meta_shape": "polygon",
		"label_meta_desc": "环宇智行-地面",
		"label_meta_name": "ground"
	}],
	"image_meta_info": {
 #图片属性信息，包含标定项id、图片名称、传感器类型、图片大小、图片源的obs路径url、时间戳
		"sensor": "cam2",
 #传感器类型
		"timestamp": 1611972782156,
		"name": "000070.jpg",
 #图片名称
		"size": {
 #图片大小
			"height": 720,
			"depth": 3,
			"width": 1280
		},
		"source": "https://octopus-data-upload.obs.cn-north- 4.myhuaweicloud.com/ZED/ut-20210130/cid-ZED/zed_data_20210127/stream/zed_data_20210127/camera/zed_front/000070.jpg",
 #图片所在obs目录
		"calibration_item_id": 1
 #标定项ID
	},
	"range_score": -1.0
}