Boggle Boards Image Dataset
Versions
2023-06-14 5:07pm
v10
Jun 14, 2023
2023-06-14 12:58pm
v9
Jun 14, 2023
2023-06-14 11:57am
v8
Jun 14, 2023
2023-06-14 11:54am
v7
Jun 14, 2023
2023-06-14 11:47am
v6
Jun 14, 2023
raw-357-images
v5
Jan 19, 2020
416x416-auto-orient
v4
Jan 19, 2020
416x416-auto-orient
v3
Jan 19, 2020
416x416-autoorient
v2
Jan 5, 2020
raw-dataset
v1
Jan 5, 2020
v6
2023-06-14 11:47am
Generated on Jun 14, 2023
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
785 Total Images
View All Images
Dataset Split
Train Set 88%
693Images
Valid Set 8%
60Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
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