Dataset Versions
Versions
2024-04-01 6:49pm
v12
· 9 months ago
2024-02-12 12:38pm
v11
· 10 months ago
2024-01-18 12:17pm
v10
· a year ago
2024-01-15 12:52pm
v9
· a year ago
2023-12-30 3:19pm
v8
· a year ago
2023-12-11 1:53pm
v7
· a year ago
2023-12-09 11:59am
v6
· a year ago
2023-11-26 4:43pm
v4
· a year ago
2023-11-25 11:03am
v3
· a year ago
2023-11-24 4:20pm
v2
· a year ago
v8
2023-12-30 3:19pm
Generated on Dec 30, 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.
666 Total Images
View All Images
Dataset Split
Train Set 95%
636Images
Valid Set 3%
20Images
Test Set 2%
10Images
Preprocessing
Resize: Stretch to 352x288
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±17° Horizontal, ±17° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -83% and +83%
Brightness: Between -40% and +40%
Exposure: Between -16% and +16%
Blur: Up to 4px
Noise: Up to 2% of pixels