Dataset Versions
Versions
2023-02-02 2:22am
v18
· 2 years ago
2023-02-01 9:24pm
v17
· 2 years ago
2023-01-31 4:54am
v11
· 2 years ago
2023-01-31 12:03am
v10
· 2 years ago
2023-01-30 12:18am
v9
· 2 years ago
2023-01-30 12:00am
v8
· 2 years ago
2023-01-29 10:50pm
v7
· 2 years ago
2023-01-29 5:45pm
v6
· 2 years ago
2023-01-28 11:28pm
v5
· 2 years ago
2023-01-16 2:17am
v2
· 2 years ago
v18
2023-02-02 2:22am
Generated on Feb 2, 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.
801 Total Images
View All Images
Dataset Split
Train Set 24%
196Images
Valid Set 76%
605Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 1
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -21° and +21°
Brightness: Between -25% and +25%
Noise: Up to 24% of pixels
Cutout: 25 boxes with 8% size each
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical