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Soccer Players

Object Detection

Soccer Players Image Dataset

Try Pre-Trained Model
Versions
raw-images_Classes-Player_Ref_Ball-150imgs
v16
Dec 5, 2022
resize640_aug10x_Classes-Player_Ref_Ball-150imgs
v15
Dec 5, 2022
omitGoalieGOAL-aug10x_USA-NED-COCOChkpt_v3-150imgs
v14
Dec 5, 2022
omitGoalieGOAL-aug10x_USA-NED-SaloChkpt_v2-69imgs
v13
Dec 3, 2022
omitGoalieGOAL-aug10x_USA-NED-COCOChkpt_v2-69imgs
v12
Dec 3, 2022
resized640-aug10x_USA-NED-COCOChkpt_v2-69imgs
v11
Dec 3, 2022
resized640-aug10x_USA-NED-SaloChkpt_v2-69imgs
v10
Dec 3, 2022
resized640-aug10x_USA-NED-SaloChkpt
v9
Dec 3, 2022
resized640-aug10x_Player-SaloChkpt
v8
Dec 3, 2022
resized640-aug10x_Player
v6
Dec 3, 2022
resized640_mosaic-aug10x_Player
v5
Dec 3, 2022
resized640-aug10x_Team1Team2
v4
Dec 3, 2022
resized640_mosaic-aug10x_Team1Team2
v3
Dec 3, 2022
resized640-aug10x-USA-NED
v2
Dec 3, 2022
resized640_mosaic-aug10x-USA-NED
v1
Dec 3, 2022
v4

resized640-aug10x_Team1Team2

Generated on Dec 3, 2022
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Pascal VOC XML
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115 Total Images

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Dataset Split

Train Set 96%
110Images
Valid Set 3%
3Images
Test Set 2%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 10
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 5% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Cutout: 5 boxes with 1% size each