Dataset Versions
Versions
2023-06-11 4:57am
v12
· a year ago
2023-06-11 4:53am
v11
· a year ago
2023-06-11 4:44am
v10
· a year ago
2023-06-11 4:33am
v9
· a year ago
2023-06-03 5:29pm
v8
· a year ago
2023-06-03 4:51pm
v7
· a year ago
2023-05-24 11:38am
v6
· a year ago
2023-05-24 11:34am
v5
· a year ago
2023-05-24 11:31am
v4
· a year ago
2023-04-05 7:45am
v1
· 2 years ago
v9
2023-06-11 4:33am
Generated on Jun 10, 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.
2200 Total Images
View All Images
Dataset Split
Train Set 82%
1800Images
Valid Set 5%
101Images
Test Set 14%
299Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±30° Horizontal, ±15° Vertical
Saturation: Between -50% and +50%
Brightness: Between -20% and +0%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 10% of pixels