seralexger / Clothing Detection Dataset
Licence: mit
Clothing detection dataset
Stars: ✭ 55
Programming Languages
python
139335 projects - #7 most used programming language
Labels
Projects that are alternatives of or similar to Clothing Detection Dataset
Pts
Quantized Mesh Terrain Data Generator and Server for CesiumJS Library
Stars: ✭ 36 (-34.55%)
Mutual labels: dataset
Mtnt
Code for the collection and analysis of the MTNT dataset
Stars: ✭ 48 (-12.73%)
Mutual labels: dataset
Covid 19
Novel Coronavirus 2019 time series data on cases
Stars: ✭ 1,060 (+1827.27%)
Mutual labels: dataset
People Counting Dataset
the large-scale data set for people counting (LOI counting)
Stars: ✭ 37 (-32.73%)
Mutual labels: dataset
Watermarkreco
Pytorch implementation of the paper "Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach"
Stars: ✭ 45 (-18.18%)
Mutual labels: dataset
Distil
💧 In memory dataset filtering, inspired by snikch/aggro
Stars: ✭ 49 (-10.91%)
Mutual labels: dataset
Dataconfs
A list of conferences connected with data worldwide.
Stars: ✭ 36 (-34.55%)
Mutual labels: dataset
Multidigitmnist
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Stars: ✭ 48 (-12.73%)
Mutual labels: dataset
Images Web Crawler
This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
Stars: ✭ 51 (-7.27%)
Mutual labels: dataset
Letsgodataset
This repository makes the integral Let's Go dataset publicly available.
Stars: ✭ 41 (-25.45%)
Mutual labels: dataset
Codar
✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷
Stars: ✭ 52 (-5.45%)
Mutual labels: dataset
Okutama Action
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
Stars: ✭ 36 (-34.55%)
Mutual labels: dataset
Chinesetrafficpolicepose
Detects Chinese traffic police commanding poses 检测中国交警指挥手势
Stars: ✭ 49 (-10.91%)
Mutual labels: dataset
Knyfe
knyfe is a python utility for rapid exploration of datasets.
Stars: ✭ 54 (-1.82%)
Mutual labels: dataset
Courseraforums
Anonymized versions of the discussion threads from the forums of 60 Coursera MOOCs
Stars: ✭ 50 (-9.09%)
Mutual labels: dataset
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"
}
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].