SYSU-30k数据集，全球最大的ReID数据集
文章目录
- 摘要
- 与现有的Re-ID数据集进行对比
- 数据集下载链接
- 数据集结构
- 测试结果
摘要
论文链接：https://arxiv.org/abs/1904.03845
中山大学发布了一个大型行人重识别数据集也诞生了，即 SYSU-30k。SYSU-30k 数据集包含 30,000 个行人身份类别，约是 CUHK03 和 Market-1501 的 20 倍。如果一个行人身份类别相当于一个物体类别的话，则 SYSU-30k 相当于 ImageNet 的 30 倍。该数据集总共包含 29,606,918 张图像。
与现有的Re-ID数据集进行对比
| Dataset | CUHK03 | Market-1501 | Duke | MSMT17 | CUHK01 | PRID | VIPeR | CAVIAR | SYSU-30k |
|---|---|---|---|---|---|---|---|---|---|
| Categories | 1,467 | 1,501. | 1,812 | 4,101 | 971 | 934 | 632 | 72 | 30,508 |
| Scene | Indoor | Outdoor | Outdoor | Indoor, Outdoor | Indoor | Outdoor | Outdoor | Indoor | Indoor, Outdoor |
| Annotation | Strong | Strong | Strong | Strong | Strong | Strong | Strong | Strong | Weak |
| Cameras | 2 | 6 | 8 | 15 | 10 | 2 | 2 | 2 | Countless |
| Images | 28,192 | 32,668 | 36,411 | 126,441 | 3,884 | 1,134 | 1,264 | 610 | 29,606,918 |
数据集下载链接
数据集分别存在谷歌网盘和百度网盘，链接如下：
- 谷歌网盘：https://drive.google.com/drive/folders/1MTxZ4UN_mbxjByZgcAki-H10zDzzeyuJ?usp=sharing
- 百度网盘：https://pan.baidu.com/s/1Y9phSZ5jy02szFZB_KqlyQ 提取码：1qzv
网盘中数据集的目录结构:
sysu-30k-released├── train| ├── sysu_train_set_all_part1.tar| ├── sysu_train_set_all_part2.tar| ├── sysu_train_set_all_part3.tar| ├── sysu_train_set_all_part4.tar| ├── sysu_train_set_all_part5.tar| ├── sysu_train_set_all_part6.tar| ├── sysu_train_set_all_part7.tar| ├── sysu_train_set_all_part8.tar| ├── sysu_train_set_all_part9.tar| ├── sysu_train_set_all_part10.tar├── test| ├── sysu_test_set_all.tar├── train.txt (for weakly supervised training, "filename\n" in each line)├── query.txt (for evaluation)├── gallery.txt (for evaluation)├── net_6.pth (pretrained model)数据集结构
解压后数据集的结构：
SYSU-30k-released├── SYSU-30k-released│ ├── meta│ | ├── train.txt (for weakly supervised training, "filename\n" in each line)│ | ├── query.txt (for evaluation)│ | ├── gallery.txt (for evaluation)│ ├── sysu_train_set_all│ | ├── 0000000001│ | ├── 0000000002│ | ├── 0000000003│ | ├── 0000000004│ | ├── ...│ | ├── 0000028309│ | ├── 0000028310│ ├── sysu_test_set_all│ | ├── gallery│ | | ├── 000028311│ | | | ├── 000028311_c1_1.jpg│ | | ├── 000028312│ | | | ├── 000028312_c1_1.jpg│ | | ├── 000028313Leaderboard on SYSU-30k.│ | | | ├── 000028313_c1_1.jpg│ | | ├── 000028314│ | | | ├── 000028314_c1_1.jpg│ | | ├── ...│ | | | ├── ...│ | | ├── 000029309│ | | | ├── 000029309_c1_1.jpg│ | | ├── 000029310│ | | | ├── 000029310_c1_1.jpg│ | | ├── 0000others│ | | | ├── 0000others_c1_1.jpg│ | | | ├── ...│ | | | ├── ...│ | ├── query│ | | ├── 000028311│ | | | ├── 000028311_c2_2.jpg│ | | ├── 000028312│ | | | ├── 000028312_c2_2.jpg│ | | ├── 000028313│ | | | ├── 000028313_c2_2.jpg│ | | ├── 000028314│ | | | ├── 000028314_c2_2.jpg│ | | ├── ...│ | | | ├── ...│ | | ├── 000029309│ | | | ├── 000029309_c2_2.jpg│ | | ├── 000029310│ | | | ├── 000029310_c2_2.jpg测试结果
paperswithcode链接：https://paperswithcode.com/sota/person-re-identification-on-sysu-30k
| Supervision | Method | Rank-1 |
|---|---|---|
| Generalization | DARI [1] | 11.2 |
| Generalization | DF [2] | 10.3 |
| Generalization | ResNet-50 [3] | 20.1 |
| Generalization | Local-CNN [4] | 23.0 |
| Generalization | MGN [5] | 23.6 |
| Generalization | IICS [6] | 36.0 |
| Weakly Supervised | DGL [7] | 26.9 |
| Self Supervised | SimCLR [8] | 10.9 |
| Self Supervised | MoCo v2 [9] | 11.6 |
| Self Supervised | BYOL [10] | 12.7 |
| Self Supervised | Triplet [11] | 14.8 |