Dataset Versions
Versions
2023-09-27 9:39am
v18
· a year ago
2023-09-27 9:33am
v17
· a year ago
2023-09-26 10:57am
v16
· a year ago
2023-09-26 10:52am
v15
· a year ago
2023-08-17 8:14am
v14
· a year ago
2023-07-14 7:22am
v9
· a year ago
2023-06-24 5:49am
v8
· a year ago
2023-06-19 9:51am
v7
· a year ago
2023-06-14 11:44am
v6
· a year ago
2023-05-28 11:57am
v1
· 2 years ago
v17
2023-09-27 9:33am
Generated on Sep 27, 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.
1024 Total Images
View All Images
Dataset Split
Train Set 88%
906Images
Valid Set 7%
73Images
Test Set 4%
45Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -65% and +65%
Exposure: Between -16% and +16%