Dataset Versions
Versions
2024-04-30 12:09am
v12
· 8 months ago
2024-04-29 11:52pm
v11
· 8 months ago
2024-04-29 11:51pm
v10
· 8 months ago
2024-04-29 1:45am
v9
· 8 months ago
2024-04-29 1:42am
v8
· 8 months ago
2024-04-29 1:33am
v7
· 8 months ago
2024-04-28 3:54am
v6
· 8 months ago
2024-04-28 3:17am
v5
· 8 months ago
2024-04-27 8:13pm
v2
· 8 months ago
2024-04-26 9:51pm
v1
· 8 months ago
v10
2024-04-29 11:51pm
Generated on Apr 29, 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.
748 Total Images
View All Images
Dataset Split
Train Set 87%
654Images
Valid Set 8%
63Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels