Dataset Versions
Versions
2023-06-19 11:15pm
v13
· a year ago
2023-06-19 9:16pm
v12
· a year ago
2023-06-19 8:46pm
v11
· a year ago
2023-06-18 1:03am
v10
· a year ago
2023-06-18 12:59am
v9
· a year ago
2023-06-18 12:56am
v8
· a year ago
2023-06-18 12:46am
v7
· a year ago
2023-06-18 12:32am
v6
· a year ago
2023-06-18 12:15am
v5
· a year ago
2023-06-18 12:05am
v4
· a year ago
v8
2023-06-18 12:56am
Generated on Jun 17, 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.
78 Total Images
View All Images
Dataset Split
Train Set 92%
72Images
Valid Set 4%
3Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Static Crop: 35-63% Horizontal Region, 42-88% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -10% and +10%