Dataset Versions
Versions
2024-10-06 6:25am
v16
· 2 months ago
2024-10-06 4:09am
v15
· 2 months ago
2024-09-17 5-31am
v14
· 3 months ago
2024-09-16 6:19pm
v13
· 3 months ago
2024-09-14 4:54am
v11
· 3 months ago
2024-09-13 4:45pm
v10
· 3 months ago
2024-09-12 6:06pm
v9
· 3 months ago
2024-09-09 3:25pm
v6
· 3 months ago
2024-09-09 1:40pm
v5
· 3 months ago
2024-09-09 12:23pm
v2
· 3 months ago
v9
2024-09-12 6:06pm
Generated on Sep 12, 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.
550 Total Images
View All Images
Dataset Split
Train Set 88%
483Images
Valid Set 8%
45Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical