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image imagewidth (px) 224 224 | label class label 100
classes |
|---|---|
0air hockey | |
0air hockey | |
0air hockey | |
0air hockey | |
0air hockey | |
1ampute football | |
1ampute football | |
1ampute football | |
1ampute football | |
1ampute football | |
2archery | |
2archery | |
2archery | |
2archery | |
2archery | |
3arm wrestling | |
3arm wrestling | |
3arm wrestling | |
3arm wrestling | |
3arm wrestling | |
4axe throwing | |
4axe throwing | |
4axe throwing | |
4axe throwing | |
4axe throwing | |
5balance beam | |
5balance beam | |
5balance beam | |
5balance beam | |
5balance beam | |
6barell racing | |
6barell racing | |
6barell racing | |
6barell racing | |
6barell racing | |
7baseball | |
7baseball | |
7baseball | |
7baseball | |
7baseball | |
8basketball | |
8basketball | |
8basketball | |
8basketball | |
8basketball | |
9baton twirling | |
9baton twirling | |
9baton twirling | |
9baton twirling | |
9baton twirling | |
10bike polo | |
10bike polo | |
10bike polo | |
10bike polo | |
10bike polo | |
11billiards | |
11billiards | |
11billiards | |
11billiards | |
11billiards | |
12bmx | |
12bmx | |
12bmx | |
12bmx | |
12bmx | |
13bobsled | |
13bobsled | |
13bobsled | |
13bobsled | |
13bobsled | |
14bowling | |
14bowling | |
14bowling | |
14bowling | |
14bowling | |
15boxing | |
15boxing | |
15boxing | |
15boxing | |
15boxing | |
16bull riding | |
16bull riding | |
16bull riding | |
16bull riding | |
16bull riding | |
17bungee jumping | |
17bungee jumping | |
17bungee jumping | |
17bungee jumping | |
17bungee jumping | |
18canoe slamon | |
18canoe slamon | |
18canoe slamon | |
18canoe slamon | |
18canoe slamon | |
19cheerleading | |
19cheerleading | |
19cheerleading | |
19cheerleading | |
19cheerleading |
End of preview. Expand in Data Studio
Sports Image Classification dataset
From Kaggle: 100 Sports Image Classification
Collection of sports images covering 100 different sports. Images are 224x224x3 jpg format.
Data is separated into train, test and valid directories.
- 13493 train images
- 500 test images
- 500 validate images
Additionallly a csv file is included for those that wish to use it to create there own train, test and validation datasets.
Clone
git clone https://huggingface.co/datasets/HES-XPLAIN/SportsImageClassification
or
git clone git@hf.co:datasets/HES-XPLAIN/SportsImageClassification
Modify dataset
To add data, ensure to install LFS.
git lfs install
Then proceed accordingly with git add and git push.
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