Dataset Versions
Versions
2023-12-02 10:09am
v10
· a year ago
2023-12-02 10:08am
v9
· a year ago
2023-10-22 7:05pm
v8
· a year ago
2023-10-22 6:52pm
v7
· a year ago
2023-10-07 10:12am
v6
· a year ago
2023-10-05 9:45pm
v5
· a year ago
2023-10-05 9:39pm
v4
· a year ago
2023-07-16 6:43pm
v3
· a year ago
2023-07-10 10:59am
v2
· a year ago
2023-07-10 10:36am
v1
· a year ago
v10
2023-12-02 10:09am
Generated on Dec 2, 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.
1650 Total Images
View All Images
Dataset Split
Train Set 82%
1350Images
Valid Set 18%
300Images
Test Set %
0Images
Preprocessing
Resize: Fit (black edges) in 320x320
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Cutout: 5 boxes with 6% size each
Mosaic: Applied
Bounding Box: Blur: Up to 2.75px
Bounding Box: Noise: Up to 1% of pixels