一. 项目数据集介绍：
- COCO数据集：
coco2017,有80个类别,包含交通信号灯和交通标志, 红绿灯信号灯没有颜色属性标签.
COCO数据集JSON文件格式，主要有以下五个键字段：
<class 'dict'>:
{
"info": info,
"licenses": [license],
"images": [image],
"annotations": [annotation],
"categories":
}
其中要关注的是后三项内容,即 “images”, “annotations”,”categories”.
一组实例如下:
dict{
"images":[
{ "license":3,
"file_name":"COCO_val2014_000000391895.jpg",
"coco_url":"http:\/\/mscoco.org\/images\/391895",
"height":360,
"width":640,
"date_captured":"2013-11-14 11:18:45",
"flickr_url":"http:\/\/farm9.staticflickr.com\/8186\/8119368305_4e622c8349_z.jpg",
"id":391895
},
{...}, ...
]
"annotation":[
{ "segmentation": [[510.66,423.01,511.72,420.03,510.45......]], //见下面
"area": 702.1057499999998,
"iscrowd": 0, //见下面
"image_id": 289343,
"bbox": [473.07,395.93,38.65,28.67], //矩形框左上角的坐标和矩形框的长宽
"category_id": 18, //类别id
"id": 1768
},
{...}, ...
]
"categories":[{"supercategory": "person", "id": 1, "name": "person"},
{"supercategory": "vehicle", "id": 2, "name": "bicycle"},
...
{"supercategory": "indoor", "id": 90, "name": "toothbrush"}
]
}
- BDD100K数据集
BDD100K的道路目标检测部分总共有10类： bus，traffic light，traffic sign，person，bike，truck，moter，car，train，rider。有目标的属性标签,比如交通信号灯有 green, yellow, red, none 的 attributes 标签.
各类对象数目统计分布如下：
打开一张图片
images/100k/val/b1d9e136-9ab25cb3.jpg, 如下:
并打开
labels/100k/val/b1d9e136-9ab25cb3,json查看其内容，如下：
{
"name": "b1d9e136-9ab25cb3",
"frames": [
{
"timestamp": 10000, //表示在时间点为10000下的图片
"objects": [
{
"category": "traffic sign", //存在一个traffic sign类别的对象
"id": 0,
"attributes": {
"occluded": false,
"truncated": false,
"trafficLightColor": "none" //交通标志的颜色
},
"box2d": { //左上角和右下角的四个坐标值
"x1": 373.484793,
"y1": 218.719691,
"x2": 418.816665,
"y2": 234.533134
}
},
{
"category": "person", //存在一个person类别的对象
"id": 1,
"attributes": {
"occluded": false,
"truncated": false,
"trafficLightColor": "none"
},
"box2d": {
"x1": 887.948822,
"y1": 329.413797,
"x2": 903.762266,
"y2": 369.474519
}
},
...
...
]
...
...
}
Original: https://blog.csdn.net/Boys_Wu/article/details/124344310
Author: Doctor_Wu_
Title: 数据集格式–图像–目标检测
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