Dataset Versions
Versions
2023-05-08 3:58pm
v9
· 2 years ago
2023-05-07 9:01pm
v8
· 2 years ago
2023-05-06 11:20pm
v7
· 2 years ago
2023-05-06 9:30pm
v6
· 2 years ago
2023-05-06 2:45pm
v5
· 2 years ago
2023-05-03 5:04pm
v4
· 2 years ago
2023-05-03 2:24pm
v3
· 2 years ago
2023-05-03 12:07am
v2
· 2 years ago
2023-05-02 7:27pm
v1
· 2 years ago
v2
2023-05-03 12:07am
Generated on May 3, 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.
1660 Total Images
View All Images
Dataset Split
Train Set 93%
1550Images
Valid Set 4%
72Images
Test Set 2%
38Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -39° and +39°
Shear: ±44° Horizontal, ±41° Vertical
Exposure: Between -44% and +44%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 11% size each
Mosaic: Applied
Bounding Box: Shear: ±45° Horizontal, ±20° Vertical