Dataset Versions
Versions
2024-09-17 4:07am
v11
· 3 months ago
2024-09-17 2:45am
v10
· 3 months ago
2024-09-09 6:40pm
v9
· 3 months ago
2024-09-04 1:27pm
v8
· 4 months ago
2024-09-04 4:33am
v7
· 4 months ago
2024-09-04 4:00am
v6
· 4 months ago
2024-07-16 1:59pm
v5
· 5 months ago
2024-07-10 9:15pm
v3
· 5 months ago
2024-07-09 5:39am
v2
· 5 months ago
v7
2024-09-04 4:33am
Generated on Sep 4, 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.
57 Total Images
View All Images
Dataset Split
Train Set 84%
48Images
Valid Set 12%
7Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 13% of images
Saturation: Between -26% and +26%
Brightness: Between -19% and +19%
Blur: Up to 2.6px
Noise: Up to 0.1% of pixels