Dataset Versions
Versions
2024-06-03 2:38pm
v13
· 8 months ago
2024-01-06 8:56am
v12
· a year ago
2024-01-05 9:59pm
v9
· a year ago
2024-01-04 8:15pm
v8
· a year ago
2023-11-21 12:01pm
v7
· a year ago
2023-11-18 6:13pm
v6
· a year ago
2023-11-18 5:43pm
v5
· a year ago
2023-10-31 5:41pm
v4
· a year ago
2023-08-19 7:20pm
v3
· a year ago
2023-08-08 6:20pm
v2
· a year ago
2023-08-08 3:34pm
v1
· a year ago
v6
2023-11-18 6:13pm
Generated on Nov 18, 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.
684 Total Images
View All Images
Dataset Split
Train Set 97%
666Images
Valid Set 1%
9Images
Test Set 1%
9Images
Preprocessing
Auto-Orient: Applied
Static Crop: 24-83% Horizontal Region, 19-79% Vertical Region
Resize: Stretch to 640x480
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Hue: Between -33° and +33°
Saturation: Between -79% and +79%
Brightness: Between -25% and +25%
Exposure: Between -44% and +44%
Blur: Up to 3.5px
Noise: Up to 6% of pixels