Dataset Versions
Versions
2023-08-10 1:37pm
v10
· a year ago
2023-07-26 5:25pm
v9
· a year ago
2023-07-26 5:25pm
v8
· a year ago
2023-07-26 5:25pm
v7
· a year ago
2023-07-26 5:22pm
v6
· a year ago
2023-07-26 5:22pm
v5
· a year ago
2023-07-26 5:17pm
v4
· a year ago
2023-07-26 5:09pm
v3
· a year ago
2023-07-26 5:08pm
v2
· a year ago
2023-07-26 3:44pm
v1
· a year ago
v5
2023-07-26 5:22pm
Generated on Jul 26, 2023
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.
64 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set 100%
64Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 608x608
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 15% size each