Model Dataset
Versions
2023-05-29 12:29am
v14
· a year ago
2023-05-29 12:26am
v13
· a year ago
2023-03-11 6:37pm
v12
· 2 years ago
2023-03-11 8-20am
v11
· 2 years ago
2023-02-18 9:19am
v9
· 2 years ago
2023-02-15 5:31pm
v8
· 2 years ago
2023-02-14 9:20pm
v6
· 2 years ago
2023-02-12 2:55pm
v2
· 2 years ago
2023-02-07 11:54am
v1
· 2 years ago
v6
2023-02-14 9:20pm
Generated on Feb 14, 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.
786 Total Images
View All Images
Dataset Split
Train Set 95%
750Images
Valid Set 4%
31Images
Test Set 1%
5Images
Preprocessing
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3px
Mosaic: Applied
Bounding Box: Exposure: Between -25% and +25%