Dataset Versions
Versions
2023-09-06 3:02am
v9
· a year ago
2023-09-06 2:55am
v8
· a year ago
2023-09-06 2:46am
v7
· a year ago
2023-09-06 2:44am
v6
· a year ago
2023-08-13 4:04pm
v5
· a year ago
2023-08-13 12:55am
v4
· a year ago
2023-05-24 4:45am
v3
· 2 years ago
2023-05-24 1:37am
v2
· 2 years ago
2023-05-22 6:43pm
v1
· 2 years ago
v8
2023-09-06 2:55am
Generated on Sep 5, 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.
2428 Total Images
View All Images
Dataset Split
Train Set 92%
2241Images
Valid Set 8%
187Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 700x1000
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 100% of images
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 5% of pixels