Dataset Versions
Versions
Version 13
v14
· 3 years ago
Version 12
v13
· 3 years ago
Dreidal Version 11
v12
· 3 years ago
Version 10
v10
· 3 years ago
Dreidel 9
v9
· 3 years ago
2021-11-25 12:05pm
v8
· 3 years ago
Dreidel test -7
v7
· 3 years ago
Dreidel 6
v6
· 3 years ago
3x_aug_jn
v5
· 3 years ago
Test 4
v4
· 3 years ago
Train 3
v3
· 3 years ago
2021-11-24 1:02am
v2
· 3 years ago
First Run Dreidel Test
v1
· 3 years ago
v12
Dreidal Version 11
Generated on Dec 1, 2021
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
Choose another format.
1048 Total Images
View All Images
Dataset Split
Train Set 88%
921Images
Valid Set 8%
85Images
Test Set 4%
42Images
Preprocessing
Auto-Orient: Applied
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