Dataset Versions
v17
Classification_Data_Augmented_2024
Generated on Jun 25, 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.
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21767 Total Images
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Dataset Split
Train Set 85%
18510Images
Valid Set 11%
2355Images
Test Set 4%
902Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Grayscale: Applied
Filter Null: Require at least 60% of images to contain annotations.
Augmentations
Outputs per training example: 2
Rotation: Between -12° and +12°
Shear: ±12° Horizontal, ±13° Vertical
Brightness: Between -25% and +25%