Dataset Versions
Versions
2023-02-10 4:09pm
v10
· 2 years ago
2023-02-10 4:05pm
v8
· 2 years ago
2023-02-10 3:58pm
v7
· 2 years ago
2023-02-10 3:40pm
v6
· 2 years ago
2023-02-10 3:27pm
v5
· 2 years ago
2023-02-10 2:37pm
v4
· 2 years ago
2023-02-09 2:55pm
v3
· 2 years ago
2023-02-06 5:18pm
v2
· 2 years ago
2023-02-06 12:59pm
v1
· 2 years ago
v5
2023-02-10 3:27pm
Generated on Feb 10, 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.
144 Total Images
View All Images
Dataset Split
Train Set 77%
111Images
Valid Set 6%
8Images
Test Set 17%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±13° Horizontal, ±13° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -19% and +19%
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 1.75px