Dataset Versions
Versions
2023-05-27 7:07pm
v11
· 2 years ago
2023-05-27 2:46pm
v10
· 2 years ago
2023-05-27 2:44pm
v9
· 2 years ago
2023-05-27 2:42pm
v8
· 2 years ago
2023-05-27 11:52am
v7
· 2 years ago
2023-05-27 8:16am
v6
· 2 years ago
2023-03-30 10:16am
v3
· 2 years ago
2023-03-29 6:44am
v2
· 2 years ago
2022-10-19 5:48am
v1
· 2 years ago
v11
2023-05-27 7:07pm
Generated on May 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.
575 Total Images
View All Images
Dataset Split
Train Set 87%
501Images
Valid Set 8%
48Images
Test Set 5%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -26° and +26°
Brightness: Between -39% and +39%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 8% of pixels
Cutout: 6 boxes with 10% size each
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