Dataset Versions
v6
Con_data_Augmentation
Generated on Jan 18, 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
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178 Total Images
View All Images
Dataset Split
Train Set 84%
150Images
Valid Set 8%
15Images
Test Set 7%
13Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±4° Vertical
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Bounding Box: Crop: 0% Minimum Zoom, 5% Maximum Zoom
Bounding Box: Rotation: Between -4° and +4°
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%