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
Version 13
Version 14 Generated Dec 1, 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.
Train / Test Split
Training Set
88
1.2k
images
Validation Set
8
112
images
Testing Set
4
55
images
Preprocessing
Resize: Stretch to 472x472
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Grayscale: Apply to 5% of images
Hue: Between -0° and +0°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -13% and +13%
Noise: Up to 0% of pixels
Details
Version Name: Version 13
Version ID: 14
Generated: Dec 1, 2021
Annotation Group: Hebrew-Letters
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