Dataset Versions
Versions
2024-05-13 10:49am
v10
· 6 months ago
2023-12-20 1:28am
v9
· a year ago
2023-12-12 1:05am
v8
· a year ago
2023-12-08 1:29am
v7
· a year ago
2023-12-07 12:36am
v6
· a year ago
2023-12-04 9:29pm
v5
· a year ago
2023-12-02 9:28pm
v4
· a year ago
2023-11-30 11:52pm
v3
· a year ago
BlackAndWhite
v2
· a year ago
Start version
v1
· a year ago
v8
2023-12-12 1:05am
Generated on Dec 11, 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.
1061 Total Images
View All Images
Dataset Split
Train Set 85%
906Images
Valid Set 15%
155Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Brightness: Between -25% and +25%