当前位置：网站首页>[semantic segmentation] Introduction to mapillary dataset
[semantic segmentation] Introduction to mapillary dataset
2022-07-29 06:03:00 【Dull cat】
List of articles
One 、 brief introduction
Mapillary Vistas Data set containing 66 Class Co 25,000 Zhang high-resolution street scene data , Among them is 37 A class is a label distinguished by instances . What is the total amount of data cityscapes Of 5 Twice as many , Including different weather 、 season 、 Time . Acquisition methods include mobile phones 、 The camera 、 The computer 、 Motion camera, etc .
- Total data ：25k
- Total training ：18k
- Total amount of validation ：2k
- Total test amount ：5k
Official website ：https://www.mapillary.com/
Two 、 Category
Each major category and its corresponding sub category target
| Serial number | Category |
|---|---|
| 0 | bird |
| 1 | ground animal |
| 2 | curb |
| 3 | fence |
| 4 | guard rail |
| 5 | barrier |
| 6 | wall |
| 7 | bike lane |
| 8 | crosswalk-plain |
| 9 | curb cut |
| 10 | parking |
| 11 | pedestrian area |
| 12 | rail track |
| 13 | road |
| 14 | service lane |
| 15 | sidewalk |
| 16 | bridge |
| 17 | building |
| 18 | tunnel |
| 19 | person |
| 20 | bicyclist |
| 21 | motorcyclist |
| 22 | other rider |
| 23 | lane marking - crosswalk |
| 24 | lane marking - general |
| 25 | mountain |
| 26 | sand |
| 27 | sky |
| 28 | snow |
| 29 | terrain |
| 30 | vegetation |
| 31 | water |
| 32 | banner |
| 33 | bench |
| 34 | bike rack |
| 35 | billboard |
| 36 | catch basin |
| 37 | CCTV camera |
| 38 | fire hydrant |
| 39 | junction box |
| 40 | mailbox |
| 41 | manhole |
| 42 | phone booth |
| 43 | phthole |
| 44 | street light |
| 45 | pole |
| 46 | traffic sign frame |
| 47 | utility pole |
| 48 | traffic light |
| 49 | traffic sign(back) |
| 50 | traffic sign(front) |
| 51 | trash can |
| 52 | bicycle |
| 53 | boat |
| 54 | bus |
| 55 | car |
| 56 | caravan |
| 57 | motorcycle |
| 58 | on rails |
| 59 | other vehicle |
| 60 | trailer |
| 61 | truck |
| 62 | wheeled slow |
| 63 | car mount |
| 64 | ego vehicle |
| 65 | unlabeled |
{
"labels": [
{
"color": [
165,
42,
42
],
"instances": true,
"readable": "Bird",
"name": "animal--bird",
"evaluate": true
},
{
"color": [
0,
192,
0
],
"instances": true,
"readable": "Ground Animal",
"name": "animal--ground-animal",
"evaluate": true
},
{
"color": [
196,
196,
196
],
"instances": false,
"readable": "Curb",
"name": "construction--barrier--curb",
"evaluate": true
},
{
"color": [
190,
153,
153
],
"instances": false,
"readable": "Fence",
"name": "construction--barrier--fence",
"evaluate": true
},
{
"color": [
180,
165,
180
],
"instances": false,
"readable": "Guard Rail",
"name": "construction--barrier--guard-rail",
"evaluate": true
},
{
"color": [
90,
120,
150
],
"instances": false,
"readable": "Barrier",
"name": "construction--barrier--other-barrier",
"evaluate": true
},
{
"color": [
102,
102,
156
],
"instances": false,
"readable": "Wall",
"name": "construction--barrier--wall",
"evaluate": true
},
{
"color": [
128,
64,
255
],
"instances": false,
"readable": "Bike Lane",
"name": "construction--flat--bike-lane",
"evaluate": true
},
{
"color": [
140,
140,
200
],
"instances": true,
"readable": "Crosswalk - Plain",
"name": "construction--flat--crosswalk-plain",
"evaluate": true
},
{
"color": [
170,
170,
170
],
"instances": false,
"readable": "Curb Cut",
"name": "construction--flat--curb-cut",
"evaluate": true
},
{
"color": [
250,
170,
160
],
"instances": false,
"readable": "Parking",
"name": "construction--flat--parking",
"evaluate": true
},
{
"color": [
96,
96,
96
],
"instances": false,
"readable": "Pedestrian Area",
"name": "construction--flat--pedestrian-area",
"evaluate": true
},
{
"color": [
230,
150,
140
],
"instances": false,
"readable": "Rail Track",
"name": "construction--flat--rail-track",
"evaluate": true
},
{
"color": [
128,
64,
128
],
"instances": false,
"readable": "Road",
"name": "construction--flat--road",
"evaluate": true
},
{
"color": [
110,
110,
110
],
"instances": false,
"readable": "Service Lane",
"name": "construction--flat--service-lane",
"evaluate": true
},
{
"color": [
244,
35,
232
],
"instances": false,
"readable": "Sidewalk",
"name": "construction--flat--sidewalk",
"evaluate": true
},
{
"color": [
150,
100,
100
],
"instances": false,
"readable": "Bridge",
"name": "construction--structure--bridge",
"evaluate": true
},
{
"color": [
70,
70,
70
],
"instances": false,
"readable": "Building",
"name": "construction--structure--building",
"evaluate": true
},
{
"color": [
150,
120,
90
],
"instances": false,
"readable": "Tunnel",
"name": "construction--structure--tunnel",
"evaluate": true
},
{
"color": [
220,
20,
60
],
"instances": true,
"readable": "Person",
"name": "human--person",
"evaluate": true
},
{
"color": [
255,
0,
0
],
"instances": true,
"readable": "Bicyclist",
"name": "human--rider--bicyclist",
"evaluate": true
},
{
"color": [
255,
0,
100
],
"instances": true,
"readable": "Motorcyclist",
"name": "human--rider--motorcyclist",
"evaluate": true
},
{
"color": [
255,
0,
200
],
"instances": true,
"readable": "Other Rider",
"name": "human--rider--other-rider",
"evaluate": true
},
{
"color": [
200,
128,
128
],
"instances": true,
"readable": "Lane Marking - Crosswalk",
"name": "marking--crosswalk-zebra",
"evaluate": true
},
{
"color": [
255,
255,
255
],
"instances": false,
"readable": "Lane Marking - General",
"name": "marking--general",
"evaluate": true
},
{
"color": [
64,
170,
64
],
"instances": false,
"readable": "Mountain",
"name": "nature--mountain",
"evaluate": true
},
{
"color": [
230,
160,
50
],
"instances": false,
"readable": "Sand",
"name": "nature--sand",
"evaluate": true
},
{
"color": [
70,
130,
180
],
"instances": false,
"readable": "Sky",
"name": "nature--sky",
"evaluate": true
},
{
"color": [
190,
255,
255
],
"instances": false,
"readable": "Snow",
"name": "nature--snow",
"evaluate": true
},
{
"color": [
152,
251,
152
],
"instances": false,
"readable": "Terrain",
"name": "nature--terrain",
"evaluate": true
},
{
"color": [
107,
142,
35
],
"instances": false,
"readable": "Vegetation",
"name": "nature--vegetation",
"evaluate": true
},
{
"color": [
0,
170,
30
],
"instances": false,
"readable": "Water",
"name": "nature--water",
"evaluate": true
},
{
"color": [
255,
255,
128
],
"instances": true,
"readable": "Banner",
"name": "object--banner",
"evaluate": true
},
{
"color": [
250,
0,
30
],
"instances": true,
"readable": "Bench",
"name": "object--bench",
"evaluate": true
},
{
"color": [
100,
140,
180
],
"instances": true,
"readable": "Bike Rack",
"name": "object--bike-rack",
"evaluate": true
},
{
"color": [
220,
220,
220
],
"instances": true,
"readable": "Billboard",
"name": "object--billboard",
"evaluate": true
},
{
"color": [
220,
128,
128
],
"instances": true,
"readable": "Catch Basin",
"name": "object--catch-basin",
"evaluate": true
},
{
"color": [
222,
40,
40
],
"instances": true,
"readable": "CCTV Camera",
"name": "object--cctv-camera",
"evaluate": true
},
{
"color": [
100,
170,
30
],
"instances": true,
"readable": "Fire Hydrant",
"name": "object--fire-hydrant",
"evaluate": true
},
{
"color": [
40,
40,
40
],
"instances": true,
"readable": "Junction Box",
"name": "object--junction-box",
"evaluate": true
},
{
"color": [
33,
33,
33
],
"instances": true,
"readable": "Mailbox",
"name": "object--mailbox",
"evaluate": true
},
{
"color": [
100,
128,
160
],
"instances": true,
"readable": "Manhole",
"name": "object--manhole",
"evaluate": true
},
{
"color": [
142,
0,
0
],
"instances": true,
"readable": "Phone Booth",
"name": "object--phone-booth",
"evaluate": true
},
{
"color": [
70,
100,
150
],
"instances": false,
"readable": "Pothole",
"name": "object--pothole",
"evaluate": true
},
{
"color": [
210,
170,
100
],
"instances": true,
"readable": "Street Light",
"name": "object--street-light",
"evaluate": true
},
{
"color": [
153,
153,
153
],
"instances": true,
"readable": "Pole",
"name": "object--support--pole",
"evaluate": true
},
{
"color": [
128,
128,
128
],
"instances": true,
"readable": "Traffic Sign Frame",
"name": "object--support--traffic-sign-frame",
"evaluate": true
},
{
"color": [
0,
0,
80
],
"instances": true,
"readable": "Utility Pole",
"name": "object--support--utility-pole",
"evaluate": true
},
{
"color": [
250,
170,
30
],
"instances": true,
"readable": "Traffic Light",
"name": "object--traffic-light",
"evaluate": true
},
{
"color": [
192,
192,
192
],
"instances": true,
"readable": "Traffic Sign (Back)",
"name": "object--traffic-sign--back",
"evaluate": true
},
{
"color": [
220,
220,
0
],
"instances": true,
"readable": "Traffic Sign (Front)",
"name": "object--traffic-sign--front",
"evaluate": true
},
{
"color": [
140,
140,
20
],
"instances": true,
"readable": "Trash Can",
"name": "object--trash-can",
"evaluate": true
},
{
"color": [
119,
11,
32
],
"instances": true,
"readable": "Bicycle",
"name": "object--vehicle--bicycle",
"evaluate": true
},
{
"color": [
150,
0,
255
],
"instances": true,
"readable": "Boat",
"name": "object--vehicle--boat",
"evaluate": true
},
{
"color": [
0,
60,
100
],
"instances": true,
"readable": "Bus",
"name": "object--vehicle--bus",
"evaluate": true
},
{
"color": [
0,
0,
142
],
"instances": true,
"readable": "Car",
"name": "object--vehicle--car",
"evaluate": true
},
{
"color": [
0,
0,
90
],
"instances": true,
"readable": "Caravan",
"name": "object--vehicle--caravan",
"evaluate": true
},
{
"color": [
0,
0,
230
],
"instances": true,
"readable": "Motorcycle",
"name": "object--vehicle--motorcycle",
"evaluate": true
},
{
"color": [
0,
80,
100
],
"instances": false,
"readable": "On Rails",
"name": "object--vehicle--on-rails",
"evaluate": true
},
{
"color": [
128,
64,
64
],
"instances": true,
"readable": "Other Vehicle",
"name": "object--vehicle--other-vehicle",
"evaluate": true
},
{
"color": [
0,
0,
110
],
"instances": true,
"readable": "Trailer",
"name": "object--vehicle--trailer",
"evaluate": true
},
{
"color": [
0,
0,
70
],
"instances": true,
"readable": "Truck",
"name": "object--vehicle--truck",
"evaluate": true
},
{
"color": [
0,
0,
192
],
"instances": true,
"readable": "Wheeled Slow",
"name": "object--vehicle--wheeled-slow",
"evaluate": true
},
{
"color": [
32,
32,
32
],
"instances": false,
"readable": "Car Mount",
"name": "void--car-mount",
"evaluate": true
},
{
"color": [
120,
10,
10
],
"instances": false,
"readable": "Ego Vehicle",
"name": "void--ego-vehicle",
"evaluate": true
},
{
"color": [
0,
0,
0
],
"instances": false,
"readable": "Unlabeled",
"name": "void--unlabeled",
"evaluate": false
}
],
"version": 1.1,
"mapping": "public",
"folder_structure": "{split}/{content}/{key:.{22}}.{ext}"
}
3、 ... and 、 Annotation examples
边栏推荐
- IDEA中设置自动build-改动代码，不用重启工程，刷新页面即可
- 【bug】XLRDError: Excel xlsx file； not supported
- Android Studio 实现登录注册-源代码 （连接MySql数据库）
- Spring, summer, autumn and winter with Miss Zhang (4)
- Exploration of flutter drawing skills: draw arrows together (skill development)
- 【Transformer】SegFormer：Simple and Efficient Design for Semantic Segmentation with Transformers
- 【Transformer】ATS: Adaptive Token Sampling For Efficient Vision Transformers
- Interesting talk about performance optimization thread pool: is the more threads open, the better?
- [DL] introduction and understanding of tensor
- Reporting service 2016 custom authentication
猜你喜欢
【Transformer】AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
centos7 静默安装oracle
Ribbon学习笔记二
Training log II of the project "construction of Shandong University mobile Internet development technology teaching website"
微信小程序源码获取（附工具的下载）
Use of file upload (2) -- upload to Alibaba cloud OSS file server
并发编程学习笔记 之 工具类Semaphore（信号量）
PHP write a diaper to buy the lowest price in the whole network
day02作业之进程管理
【综述】图像分类网络
随机推荐
Simple optimization of interesting apps for deep learning (suitable for novices)
day02作业之进程管理
"Shandong University mobile Internet development technology teaching website construction" project training log V
nacos外置数据库的配置与使用
Training log 6 of the project "construction of Shandong University mobile Internet development technology teaching website"
Use of xtrabackup
【图像分类】如何使用 mmclassification 训练自己的分类模型
Nailing alarm script
Realize the scheduled backup of MySQL database in Linux environment through simple script (mysqldump command backup)
The difference between asyncawait and promise
Huawei 2020 school recruitment written test programming questions read this article is enough (Part 1)
Detailed explanation of tool classes countdownlatch and cyclicbarrier of concurrent programming learning notes
【Transformer】SegFormer：Simple and Efficient Design for Semantic Segmentation with Transformers
有价值的博客、面经收集（持续更新）
通过简单的脚本在Linux环境实现Mysql数据库的定时备份（Mysqldump命令备份）
Nifi changed UTC time to CST time
[DL] introduction and understanding of tensor
【数据库】数据库课程设计一一疫苗接种数据库
[pycharm] pycharm remote connection server
【Transformer】SOFT: Softmax-free Transformer with Linear Complexity