Dataset Versions
Versions
Data_Aug_Ver10
v17
· 2 years ago
Data_Aug_Ver9
v16
· 2 years ago
Data_Aug_Ver8
v15
· 2 years ago
Data_Aug_Ver7
v14
· 2 years ago
Data_Aug_Ver6
v13
· 2 years ago
Data_Aug_Ver5
v12
· 2 years ago
Data_Aug_Ver4
v11
· 2 years ago
Data_Aug_Ver3
v10
· 2 years ago
Data_Aug_Ver2
v9
· 2 years ago
Data_Aug_Ver1
v8
· 2 years ago
2022-11-10 5:56pm
v6
· 2 years ago
2022-11-04 8:57pm
v3
· 2 years ago
2022-10-29 3:31pm
v1
· 2 years ago
v15
Data_Aug_Ver8
Generated on Nov 20, 2022
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.
1128 Total Images
View All Images
Dataset Split
Train Set 82%
924Images
Valid Set 15%
166Images
Test Set 3%
38Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Shear: ±15° Horizontal, ±12° Vertical
Hue: Between -55° and +55°
Saturation: Between -40% and +40%
Brightness: Between 0% and +44%
Exposure: Between -23% and +23%
Blur: Up to 3px
Noise: Up to 8% of pixels