Dataset Versions
Versions
2023-07-14 6:01pm
v9
· a year ago
2023-07-07 2:53pm
v8
· a year ago
2023-07-06 5:10pm
v7
· a year ago
2023-06-27 7:13pm
v6
· a year ago
2023-06-23 1:17pm
v5
· a year ago
2023-06-20 6:34pm
v4
· 2 years ago
2023-06-19 6:36pm
v3
· 2 years ago
2023-06-16 5:21pm
v2
· 2 years ago
2023-06-15 7:37pm
v1
· 2 years ago
v6
2023-06-27 7:13pm
Generated on Jun 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
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1577 Total Images
View All Images
Dataset Split
Train Set 92%
1449Images
Valid Set 6%
100Images
Test Set 2%
28Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1px