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
v4
Stump_batsman_version_4
Generated on Oct 2, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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620 Total Images
View All Images
Dataset Split
Train Set 88%
543Images
Valid Set 12%
77Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Grayscale: Apply to 19% of images
Bounding Box: Noise: Up to 5% of pixels