Dataset Versions
Versions
2024-04-25 4:13pm
v10
· 7 months ago
2024-04-25 4:13pm
v9
· 7 months ago
2024-04-24 8:34pm
v8
· 7 months ago
2024-04-24 4:33pm
v7
· 7 months ago
2024-04-24 3:58pm
v6
· 7 months ago
2024-04-22 4:31pm
v5
· 7 months ago
2024-04-17 4:54pm
v4
· 7 months ago
2024-04-17 3:29pm
v3
· 7 months ago
2024-04-15 6:07pm
v2
· 7 months ago
2024-04-15 5:48pm
v1
· 7 months ago
v6
2024-04-24 3:58pm
Generated on Apr 24, 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.
261 Total Images
View All Images
Dataset Split
Train Set 78%
204Images
Valid Set 11%
29Images
Test Set 11%
28Images
Preprocessing
Auto-Orient: Applied
Static Crop: 28-76% Horizontal Region, 25-79% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Grayscale: Apply to 22% of images
Blur: Up to 2.4px