Dataset Versions
Versions
2023-09-01 2:32pm
v11
· a year ago
2023-09-01 2:31pm
v10
· a year ago
2023-08-30 8:10pm
v9
· a year ago
2023-08-30 5:30pm
v8
· a year ago
2023-08-30 2:11pm
v7
· a year ago
2023-08-30 11:51am
v6
· a year ago
2023-08-30 11:50am
v5
· a year ago
2023-08-30 11:46am
v4
· a year ago
2023-08-30 11:45am
v3
· a year ago
2023-08-30 11:44am
v2
· a year ago
2023-08-30 11:42am
v1
· a year ago
v1
2023-08-30 11:42am
Generated on Aug 30, 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.
182 Total Images
View All Images
Dataset Split
Train Set 87%
159Images
Valid Set 8%
15Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-95% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels