Dataset Versions
Versions
2023-08-16 8:40am
v12
· a year ago
2023-08-15 10:39pm
v11
· a year ago
2023-08-15 5:10am
v10
· a year ago
2023-08-11 11:35pm
v9
· a year ago
2023-08-11 9:50am
v8
· a year ago
2023-08-05 10:29pm
v7
· a year ago
2023-06-30 5:41pm
v6
· a year ago
2023-06-26 1:19pm
v5
· a year ago
2023-06-23 12:37pm
v4
· a year ago
2023-06-23 12:06pm
v3
· a year ago
v7
2023-08-05 10:29pm
Generated on Aug 5, 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.
1270 Total Images
View All Images
Dataset Split
Train Set 88%
1113Images
Valid Set 8%
104Images
Test Set 4%
53Images
Preprocessing
Auto-Orient: Applied
Static Crop: 24-75% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 15% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -25° and +25°