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# <p align="center"> LogoDet-3K: A Large-Scale Image Dataset for Logo Detection </p>

## LogoDet-3K-Dataset
![example](logo/example.png)

## LogoDet-3K Dataset Description
In this work, we introduce LogoDet-3K, the largest logo detection dataset with full annotation, which has 3,000 logo categories, about 200,000 manually annotated logo objects and 158,652 images. LogoDet-3K creates a more challenging benchmark for logo detection, for its higher comprehensive coverage and wider variety in both logo categories and annotated objects compared with existing datasets. 
The statistic comparison of 9 super categories from LogoDet-3K is shown as follows,

| Root Category | Sub-Category  | Images|Objects|
| ------------- |:-------------:| -----:| -----:|
| Food          |  932 |   53,350    | 64,276 |
| Clothes       |  604 |   31,266    | 37,601 |
| Necessities   |  432 |   24,822    | 30,643 |
| Others        |  371 |   15,513    | 20,016 |
| Electronic    |  224 |   9,675     | 12,139 |
|Transportation |  213 |   10,445    | 12,791 |
|Leisure        |  111 |   5,685     |  6,573 |
|Sports         |  66  |   3,945     |  5,041 |
|Medical        |  47  |   3,945     |  5,185 |
|Total          |  3,000 |   158,652 |194,261 |

## LogoDet-3K Dataset Detailed Statistics
The figure showns the detailed statistics of LogoDet-3K about Image and object distribution in per category, and the number
of objects in per image and object size in per image.
![example](logo/statistic.png)

The sorted distribution of images for each logo in LogoDet-3K is shown the figure. We can see that imbalanced distribution across
different logo categories are one characteristic of LogoDet-3K, posing a challenge for effective logo detection with few samples.
![example](logo/statistic_histogram.png)

The figure shows the distributions of categories, images and objects from LogoDet-3K on super-classes.
![example](logo/statistic_superclass.png)

## Download Dataset Links

Server link: 123.57.42.89/Dataset_ict/LogoDet-3K.zip

Baidu Drive link: https://pan.baidu.com/share/init?surl=ECJ4zOurhMzBgDZ11ekxQA password:1234

## Download pertrained model Links

Google Drive link: https://drive.google.com/file/d/1GOYqRy7yoBVAt9Ih375NWtoZZTXN6OET/view?usp=sharing