Dataset Versions
Versions
2023-05-03 8:47pm
v10
· 2 years ago
2023-04-18 1:35pm
v9
· 2 years ago
2023-04-17 12:49pm
v8
· 2 years ago
2023-04-16 11:21pm
v7
· 2 years ago
2023-04-13 12:11pm
v6
· 2 years ago
2023-04-11 3:23pm
v5
· 2 years ago
2023-04-11 2:35pm
v4
· 2 years ago
2023-04-11 2:18pm
v3
· 2 years ago
2023-03-14 12:56am
v2
· 2 years ago
2023-03-13 4:24pm
v1
· 2 years ago
v2
2023-03-14 12:56am
Generated on Mar 13, 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.
1684 Total Images
View All Images
Dataset Split
Train Set 74%
1245Images
Valid Set 20%
330Images
Test Set 6%
109Images
Preprocessing
Resize: Stretch to 500x500
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±27° Horizontal, ±14° Vertical
Cutout: 6 boxes with 6% size each
Bounding Box: Crop: 0% Minimum Zoom, 15% Maximum Zoom
Bounding Box: Blur: Up to 16.75px
Bounding Box: Noise: Up to 15% of pixels