Dataset Versions
Versions
2023-12-01 10:27am
v11
· a year ago
2023-11-30 9:36pm
v10
· a year ago
2023-11-18 3:06pm
v9
· a year ago
2023-11-04 7:34pm
v8
· a year ago
2023-11-04 8:27am
v7
· a year ago
2023-11-04 8:23am
v6
· a year ago
2023-11-03 9:39pm
v5
· a year ago
2023-11-01 2:25pm
v4
· a year ago
2023-09-23 10:45pm
v3
· a year ago
2023-09-23 8:51pm
v2
· a year ago
2023-09-23 4:13pm
v1
· a year ago
v6
2023-11-04 8:23am
Generated on Nov 4, 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.
4012 Total Images
View All Images
Dataset Split
Train Set 89%
3554Images
Valid Set 7%
293Images
Test Set 4%
165Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -19% and +19%
Blur: Up to 1.5px