Dataset Versions
Versions
2023-02-10 9:06pm
v9
· 2 years ago
2023-01-22 3:36pm
v8
· 2 years ago
2023-01-20 6:50pm
v7
· 2 years ago
2023-01-20 6:40pm
v6
· 2 years ago
2023-01-20 5:24pm
v5
· 2 years ago
2023-01-19 9:42pm
v4
· 2 years ago
2023-01-17 1:28pm
v3
· 2 years ago
2023-01-17 9:20am
v2
· 2 years ago
2022-11-30 12:50am
v1
· 2 years ago
v6
2023-01-20 6:40pm
Generated on Jan 20, 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.
221 Total Images
View All Images
Dataset Split
Train Set 81%
180Images
Valid Set 10%
21Images
Test Set 9%
20Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels