Basketball Players Image Dataset
Versions
raw-images-scoreboardClassesOnly-noNulls
v22
May 19, 2023
raw-images-scoreboardClassesOnly-withNullImages
v21
May 19, 2023
resize640-aug10x-scoreboardClassesOnly
v20
May 19, 2023
YOLOv8n
v16
Jan 10, 2023
v3-resized640_allClasses-aug10x-FAST
v13
Dec 18, 2022
v3-resized640_allClasses-aug5x-FAST
v12
Dec 18, 2022
v2-resized640_allClasses-aug10x-FAST
v8
Dec 17, 2022
v1-resized640_allClasses-aug10x-FAST
v2
Dec 17, 2022
original_raw-images
v1
Dec 17, 2022
v16
YOLOv8n
Generated on Jan 10, 2023
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TXT annotations and YAML config used with YOLOv8.
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MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
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1029 Total Images
View All Images
Dataset Split
Train Set 95%
980Images
Valid Set 3%
28Images
Test Set 2%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 10
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Cutout: 5 boxes with 2% size each
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