The Dreidel Project Image Dataset
Versions
Version 13
v14
Dec 1, 2021
Version 12
v13
Dec 1, 2021
Dreidal Version 11
v12
Dec 1, 2021
Version 10
v10
Dec 1, 2021
Dreidel 9
v9
Nov 27, 2021
2021-11-25 12:05pm
v8
Nov 25, 2021
Dreidel test -7
v7
Nov 25, 2021
Dreidel 6
v6
Nov 24, 2021
3x_aug_jn
v5
Nov 24, 2021
Test 4
v4
Nov 24, 2021
Train 3
v3
Nov 24, 2021
2021-11-24 1:02am
v2
Nov 24, 2021
First Run Dreidel Test
v1
Nov 24, 2021
v1
First Run Dreidel Test
Generated on Nov 24, 2021
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.
154 Total Images
View All Images
Dataset Split
Train Set 88%
135Images
Valid Set 8%
13Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Static Crop: 35-60% Horizontal Region, 38-66% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±0° Horizontal, ±4° Vertical
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