Dataset Versions
Versions
2024-01-12 11:38am
v9
· a year ago
2024-01-12 11:24am
v8
· a year ago
2024-01-12 11:13am
v7
· a year ago
2024-01-12 10:51am
v6
· a year ago
2024-01-12 10:44am
v5
· a year ago
2024-01-12 10:38am
v4
· a year ago
2024-01-12 10:32am
v3
· a year ago
2024-01-12 9:58am
v2
· a year ago
2024-01-12 9:51am
v1
· a year ago
v7
2024-01-12 11:13am
Generated on Jan 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.
68 Total Images
View All Images
Dataset Split
Train Set 93%
63Images
Valid Set 4%
3Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.49% of pixels
Cutout: 10 boxes with 14% size each