I have built a dataset that contains 100k images from instagram with an automate annotation like the examples of this repo. If you are interested in this and other custom datasets send an email to "[email protected]", I am thinking in create a telegram bot or telegram group for dataset requests.
I have created a dataset with wild images where garments are detected, I have gotten all the images from instagram. The are two files, the "dataset.zip" (you can download from https://files.fm/u/xcgc4djv), where you can find all the images and the "data.zip", where there are the jsons with the metadata of the images.
All the necesary libraries for run the project are in the requirements.txt.
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.
{
"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"
}