Dataset Versions
Versions
2023-07-24 11:11am
v9
· a year ago
2023-07-21 3:48pm
v8
· a year ago
2023-07-21 10:29am
v7
· a year ago
2023-07-20 10:53am
v6
· a year ago
2023-07-20 10:48am
v5
· a year ago
2023-07-19 3:31pm
v4
· a year ago
2023-07-19 12:25pm
v3
· a year ago
2023-07-19 10:00am
v2
· a year ago
2023-07-17 4:09pm
v1
· a year ago
v5
2023-07-20 10:48am
Generated on Jul 20, 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.
330 Total Images
View All Images
Dataset Split
Train Set 85%
279Images
Valid Set 8%
27Images
Test Set 7%
24Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -18° and +18°
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels