Dataset Versions
Versions
2023-05-09 10:04am
v11
· 2 years ago
2023-05-04 11:35pm
v10
· 2 years ago
2023-05-04 3:53pm
v9
· 2 years ago
2023-05-04 1:52pm
v8
· 2 years ago
2023-05-01 11:21am
v7
· 2 years ago
2023-05-01 10:53am
v6
· 2 years ago
2023-05-01 12:41am
v5
· 2 years ago
2023-04-30 8:54pm
v4
· 2 years ago
2023-04-30 8:22pm
v3
· 2 years ago
2023-04-30 8:21pm
v2
· 2 years ago
2023-04-30 7:27pm
v1
· 2 years ago
v9
2023-05-04 3:53pm
Generated on May 4, 2023
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.
800 Total Images
View All Images
Dataset Split
Train Set 83%
662Images
Valid Set 11%
86Images
Test Set 7%
52Images
Preprocessing
Auto-Orient: Applied
Static Crop: 20-80% Horizontal Region, 20-90% Vertical Region
Resize: Stretch to 224x168
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -17° and +17°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -40° and +40°