Dataset Versions
Versions
2024-11-02 4:31am
v9
· 2 months ago
2024-08-04 10:25am
v8
· 4 months ago
2024-07-20 1:58pm
v7
· 5 months ago
2024-07-18 6:29am
v6
· 5 months ago
2024-07-13 8:39am
v5
· 5 months ago
2024-06-18 2:10am
v4
· 6 months ago
2024-06-18 1:35am
v3
· 6 months ago
2024-06-17 10:48am
v2
· 6 months ago
2024-06-16 4:28am
v1
· 6 months ago
v5
2024-07-13 8:39am
Generated on Jul 13, 2024
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.
1136 Total Images
View All Images
Dataset Split
Train Set 88%
999Images
Valid Set 8%
95Images
Test Set 4%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -3° and +3°
Grayscale: Apply to 100% of images
Exposure: Between -14% and +14%
Cutout: 4 boxes with 10% size each