Dataset Versions
Versions
Stump_batsman_ball_v9
v10
· 2 years ago
Stump_batsman_ball_v8
v9
· 2 years ago
stump_batsman_ball
v8
· 2 years ago
Stump_batsman_ball
v6
· 2 years ago
2022-10-02 1:50pm
v5
· 2 years ago
Stump_batsman_version_4
v4
· 2 years ago
Stump_Batsman
v3
· 2 years ago
Stumps_Version_2
v2
· 2 years ago
Stumps
v1
· 2 years ago
v6
Stump_batsman_ball
Generated on Oct 3, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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1279 Total Images
View All Images
Dataset Split
Train Set 88%
1128Images
Valid Set 8%
99Images
Test Set 4%
52Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 19% of images
Bounding Box: Blur: Up to 15px
Bounding Box: Noise: Up to 5% of pixels