Dataset Versions
Versions
2023-03-06 11:41am
v9
· 2 years ago
2023-03-06 9:43am
v8
· 2 years ago
2023-03-05 7:19pm
v7
· 2 years ago
2023-03-05 6:51pm
v6
· 2 years ago
2023-03-05 5:45pm
v5
· 2 years ago
2023-03-05 5:34pm
v4
· 2 years ago
2023-03-05 4:09pm
v3
· 2 years ago
2023-03-04 11:01am
v2
· 2 years ago
2023-03-03 7:18pm
v1
· 2 years ago
v7
2023-03-05 7:19pm
Generated on Mar 5, 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.
551 Total Images
View All Images
Dataset Split
Train Set 90%
495Images
Valid Set 6%
33Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Static Crop: 31-62% Horizontal Region, 18-65% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±27° Vertical
Saturation: Between -37% and +37%
Bounding Box: Brightness: Between -9% and +9%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 1% of pixels