Clothing Detection Dataset Save

Clothing detection dataset

Project README

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:

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

alt text

Crop box example

alt text

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"
}
Open Source Agenda is not affiliated with "Clothing Detection Dataset" Project. README Source: seralexger/clothing-detection-dataset

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