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 |
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