Dataset Versions
Versions
Annotation Model 640
v10
· 2 months ago
2024-10-10 6:34pm
v9
· 2 months ago
Annotation Model
v8
· 2 months ago
2024-10-09 8:34am
v7
· 2 months ago
2024-10-09 8:03am
v6
· 2 months ago
2024-10-09 6:55am
v5
· 2 months ago
2024-09-23 7:44pm
v4
· 3 months ago
NoCrop_FitWithin
v3
· 3 months ago
252_Ballonly
v2
· 3 months ago
small_Ballonly
v1
· 3 months ago
v2
252_Ballonly
Generated on Sep 21, 2024
Popular Download Formats
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.
Other Formats
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603 Total Images
View All Images
Dataset Split
Train Set 88%
528Images
Valid Set 8%
50Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: Volleyball
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -6° and +6°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels
Bounding Box: Blur: Up to 2.5px