Dataset Versions
Versions
2025-01-21 4:40pm
v9
· 2 days ago
2025-01-21 4:14pm
v8
· 3 days ago
2025-01-17 3:24pm
v7
· 7 days ago
2025-01-08 9:55pm
v6
· 15 days ago
2025-01-07 9:41pm
v5
· 16 days ago
2025-01-06 10:34am
v4
· 18 days ago
2025-01-05 11:38am
v3
· 19 days ago
2025-01-03 10:15am
v2
· 21 days ago
2025-01-03 10:12am
v1
· 21 days ago
v5
2025-01-07 9:41pm
Generated on Jan 7, 2025
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.
766 Total Images
View All Images
Dataset Split
Train Set 90%
687Images
Valid Set 10%
79Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 5-95% Vertical Region
Resize: Stretch to 1088x1088
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.5px