Dataset Versions
Versions
raw-images_Classes-Player_Ref_Ball-150imgs
v16
· 2 years ago
resize640_aug10x_Classes-Player_Ref_Ball-150imgs
v15
· 2 years ago
omitGoalieGOAL-aug10x_USA-NED-COCOChkpt_v3-150imgs
v14
· 2 years ago
omitGoalieGOAL-aug10x_USA-NED-SaloChkpt_v2-69imgs
v13
· 2 years ago
omitGoalieGOAL-aug10x_USA-NED-COCOChkpt_v2-69imgs
v12
· 2 years ago
resized640-aug10x_USA-NED-COCOChkpt_v2-69imgs
v11
· 2 years ago
resized640-aug10x_USA-NED-SaloChkpt_v2-69imgs
v10
· 2 years ago
resized640-aug10x_USA-NED-SaloChkpt
v9
· 2 years ago
resized640-aug10x_Player-SaloChkpt
v8
· 2 years ago
resized640-aug10x_Player
v6
· 2 years ago
resized640_mosaic-aug10x_Player
v5
· 2 years ago
resized640-aug10x_Team1Team2
v4
· 2 years ago
resized640_mosaic-aug10x_Team1Team2
v3
· 2 years ago
resized640-aug10x-USA-NED
v2
· 2 years ago
resized640_mosaic-aug10x-USA-NED
v1
· 2 years ago
v13
omitGoalieGOAL-aug10x_USA-NED-SaloChkpt_v2-69imgs
Generated on Dec 3, 2022
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TXT annotations and YAML config used with YOLOv7.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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501 Total Images
View All Images
Dataset Split
Train Set 96%
480Images
Valid Set 3%
13Images
Test Set 2%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 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