Dataset Versions
Versions
2024-06-07 11:47am
v9
· 6 months ago
2024-06-05 7:05pm
v8
· 6 months ago
2024-06-04 3:30am
v7
· 6 months ago
2024-06-04 1:51am
v6
· 6 months ago
2024-06-03 3:47pm
v5
· 6 months ago
2024-06-03 3:35pm
v4
· 6 months ago
2024-05-29 11:43pm
v3
· 6 months ago
2024-05-29 4:58pm
v2
· 6 months ago
Version1
v1
· 6 months ago
v4
2024-06-03 3:35pm
Generated on Jun 3, 2024
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.
280 Total Images
View All Images
Dataset Split
Train Set 88%
246Images
Valid Set 9%
24Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Shear: ±14° Horizontal, ±13° Vertical
Brightness: Between -19% and +19%
Blur: Up to 1.9px
Noise: Up to 1.29% of pixels