Dataset Versions
Versions
2024-03-26 12:50pm
v14
· 8 months ago
Model04
v12
· 8 months ago
Model03
v11
· 8 months ago
Model02
v10
· 8 months ago
Model01
v9
· 8 months ago
NewModel4
v8
· a year ago
NewModel3
v7
· a year ago
NewModel2
v6
· a year ago
NewModel1
v5
· a year ago
2023-12-16 2:35pm
v4
· a year ago
2023-12-16 2:33pm
v3
· a year ago
02
v2
· a year ago
01
v1
· a year ago
v7
NewModel3
Generated on Jan 6, 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.
580 Total Images
View All Images
Dataset Split
Train Set 87%
507Images
Valid Set 8%
49Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -22% and +22%
Blur: Up to 1.75px
Noise: Up to 1.5% of pixels