Following are the types of sports over which we are trying to classifying:

• Swimming
• Badminton
• Wrestling
• Olympic Shooting
• Cricket
• Football
• Tennis
• Hockey
• Ice Hockey
• Kabaddi
• WWE
• Gymnasium
• Weight lifting
• Volleyball
• Table tennis
• Baseball
• Formula 1
• Moto GP
• Chess
• Boxing
• Fencing
• Basketball

Data has been downloaded with the help of gi2ds

Training set: 11524

Validation set: 2881

Resnet-50

The following data augmentation has been applied to increase the no of images in the training set

1. Flip horizontal
2. Lighting
3. Zooming
4. Warping

Pair of confused categories with minimum value of 2

[('motogp', 'formula1', 5),

('badminton', 'tennis', 4),

('weight_lifting', 'wrestling', 3),

('wrestling', 'wwe', 3),

('badminton', 'table_tennis', 2),

('basketball', 'volleyball', 2),

('boxing', 'wrestling', 2),

('hockey', 'ice_hockey', 2),

('kabaddi', 'hockey', 2),

('tennis', 'table_tennis', 2),

('weight_lifting', 'wwe', 2),

('wrestling', 'kabaddi', 2)]

For some images you can see the prediction is correct but the manual labelling was done wrong. This shows the CNN are less susceptible to human mistakes.

The accuracy obtained is 97%

Original Image

After Heatmap

You can download the data and model from here