Dataset Versions
Versions
2024-08-25 8:37am
v9
· 3 months ago
2024-08-07 1:27am
v8
· 3 months ago
2024-08-06 5:41am
v7
· 3 months ago
2024-07-29 2:13pm
v6
· 4 months ago
2024-05-02 6:49pm
v5
· 6 months ago
2024-03-23 11:23am
v4
· 8 months ago
2023-12-26 10:51pm
v3
· a year ago
2023-12-25 8:51pm
v2
· a year ago
2023-12-25 8:49pm
v1
· a year ago
v2
2023-12-25 8:51pm
Generated on Dec 25, 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.
187 Total Images
View All Images
Dataset Split
Train Set 87%
162Images
Valid Set 8%
15Images
Test Set 5%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -34% and +34%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 31% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 3.75px
Bounding Box: Noise: Up to 10% of pixels