Dataset Versions
Versions
2023-02-03 10:45am
v10
· 2 years ago
2023-02-03 9:11am
v9
· 2 years ago
2023-02-02 9:43am
v8
· 2 years ago
2023-02-02 9:20am
v7
· 2 years ago
2023-02-01 3:39pm
v6
· 2 years ago
2023-02-01 3:35pm
v5
· 2 years ago
2023-02-01 3:31pm
v4
· 2 years ago
2023-02-01 3:09pm
v3
· 2 years ago
2023-02-01 11:32am
v2
· 2 years ago
2023-02-01 9:23am
v1
· 2 years ago
v3
2023-02-01 3:09pm
Generated on Feb 1, 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.
1527 Total Images
View All Images
Dataset Split
Train Set 87%
1335Images
Valid Set 8%
127Images
Test Set 4%
65Images
Preprocessing
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each