Clothing detection dataset

I have created a dataset with wild images where garments are detected, I have gotten all the images from instagram. The are two files:

"dataset.zip" (https://mega.nz/#!JdJyHKbJ!svy5SyoLSHfjUJOM5YcBXrQahvXFuTGDquPkWaxUKgo), where you can find all the images.
"data.zip" (it's in the repo or in https://mega.nz/#!1NJyWA7B!uWUjZp5bWuxjJfc2ElxZt3i_k2RvILuy9dHHNm9qF50), where there are the jsons with the metadata of the images.

Getting Started

All the necesary libraries for run the project are in the requirements.txt.

Example

In draw_box_example.py there is an example code to draw the boxes, and in crop_box_example.py there is an example code to crop the clothes of the image.

Draw box example

Crop box example

Data JSON scheme example

{
    "arr_boxes": [
        {
            "x": 221.32390916347504,
            "y": 624.6319770812988,
            "width": 78.0220752954483,
            "height": 43.4633731842041,
            "genre": "mujer",
            "class": "gafas de sol"
        },
        {
            "x": 345.8838129043579,
            "y": 650.0715896487236,
            "width": 80.0260877609253,
            "height": 46.52789086103439,
            "genre": "mujer",
            "class": "gafas de sol"
        },
        {
            "x": 462.4635708332062,
            "y": 643.2647868990898,
            "width": 80.10356068611145,
            "height": 51.223500072956085,
            "genre": "mujer",
            "class": "gafas de sol"
        },
        {
            "x": 248.01238238811493,
            "y": 1268.1888163089752,
            "width": 122.82929956912994,
            "height": 67.63978600502014,
            "genre": "mujer",
            "class": "zapatos"
        },
        {
            "x": 498.22065711021423,
            "y": 1232.948613166809,
            "width": 101.950603723526,
            "height": 85.60903072357178,
            "genre": "mujer",
            "class": "zapatos"
        },
        {
            "x": 296.8093013763428,
            "y": 697.8735029697418,
            "width": 186.79794073104858,
            "height": 238.04175853729248,
            "genre": "mujer",
            "class": "camisas"
        },
        {
            "x": 172.84747123718262,
            "y": 697.6209998130798,
            "width": 186.8482804298401,
            "height": 239.25325870513916,
            "genre": "mujer",
            "class": "chaquetas"
        },
        {
            "x": 301.18216037750244,
            "y": 921.2495595216751,
            "width": 160.36638021469116,
            "height": 308.5134744644165,
            "genre": "mujer",
            "class": "pantalones"
        },
        {
            "x": 484.19432401657104,
            "y": 920.1821744441986,
            "width": 218.4789276123047,
            "height": 296.2758421897888,
            "genre": "mujer",
            "class": "falda"
        },
        {
            "x": 448.34460496902466,
            "y": 699.9615222215652,
            "width": 213.53031635284424,
            "height": 305.36177158355713,
            "genre": "mujer",
            "class": "chaquetas"
        }
    ],
    "file_name": "df5wx01jni2eac5fk8039f1zf0xzxe2vdehgoo9ai1dh1pgl80iy55xs2uwn59w9.jpg"
}

seralexger / clothing-detection-dataset Goto Github PK

clothing-detection-dataset's Introduction

Clothing detection dataset

Getting Started

Example

Draw box example

Crop box example

Data JSON scheme example

clothing-detection-dataset's People

Contributors

Stargazers

Watchers

Forkers

clothing-detection-dataset's Issues

Image of dataset.zip not match with data.zip

dead link

image file is deleted

Recommend Projects

React

Vue.js

Typescript

TensorFlow

Django

Laravel

D3

Recommend Topics

javascript

web

server

Machine learning

Visualization

Game

Recommend Org

Facebook

Microsoft

Google

Alibaba

D3

Tencent