Dataset Versions
Versions
2023-12-11 10:43am
v9
· a year ago
2023-12-11 10:42am
v8
· a year ago
2023-12-11 10:41am
v7
· a year ago
2023-12-11 10:40am
v6
· a year ago
2023-12-11 10:35am
v5
· a year ago
2023-12-11 10:34am
v4
· a year ago
2023-12-11 10:33am
v3
· a year ago
2023-12-10 11:18am
v2
· a year ago
2023-12-10 11:14am
v1
· a year ago
v8
2023-12-11 10:42am
Generated on Dec 11, 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.
392 Total Images
View All Images
Dataset Split
Train Set 73%
288Images
Valid Set 2%
9Images
Test Set 24%
95Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -19% and +19%
Blur: Up to 2.5px