Dataset Versions
Versions
2022-07-27 12:06pm
v10
· 2 years ago
2022-07-17 2:31pm
v9
· 2 years ago
2022-07-15 12:00pm
v8
· 2 years ago
2022-07-15 9:16am
v7
· 2 years ago
2022-07-13 9:12pm
v6
· 2 years ago
2022-07-08 4:29pm
v5
· 2 years ago
2022-07-07 8:48pm
v4
· 2 years ago
2022-07-01 3:22pm
v3
· 2 years ago
2022-06-21 5:48pm
v1
· 2 years ago
v10
2022-07-27 12:06pm
Generated on Jul 27, 2022
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.
1527 Total Images
View All Images
Dataset Split
Train Set 88%
1338Images
Valid Set 6%
96Images
Test Set 6%
93Images
Preprocessing
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±16° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each