Footballers Image Dataset
v1
2023-12-09 12:55pm
Generated on Dec 9, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
240 Total Images
View All Images
Dataset Split
Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±15° Horizontal, ±32° Vertical
Grayscale: Apply to 8% of images
Saturation: Between -25% and +25%
Brightness: Between -9% and +9%
Exposure: Between -10% and +10%
Cutout: 1 boxes with 5% size each
Bounding Box: Flip: Horizontal
Similar Projects
face
485 images
Brand-on-shirt
34 images
men
287 images
FootballStar
221 images
nhandienmatnguoi
38 images