Dataset Versions
Versions
2023-10-01 12:58pm
v12
· a year ago
2023-09-24 10:49am
v11
· a year ago
2023-09-23 11:23pm
v10
· a year ago
2023-09-16 11:17am
v9
· a year ago
2023-09-16 10:41am
v8
· a year ago
2023-09-14 9-56pm missing annotations
v6
· a year ago
2023-09-14 9-20pm missing annotations
v3
· a year ago
2023-09-08 5-42pm missing annotation
v2
· a year ago
2023-09-08 4:23pm
v1
· a year ago
v2
2023-09-08 5-42pm missing annotation
Generated on Sep 8, 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.
950 Total Images
View All Images
Dataset Split
Train Set 71%
672Images
Valid Set 15%
144Images
Test Set 14%
134Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -10% and +10%
Cutout: 3 boxes with 40% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical