Dataset Versions
Versions
7x_data_augmentation_original
v9
· 3 years ago
2x_data_augmentation_1000
v8
· 3 years ago
5x_data_augmentation_1000
v5
· 3 years ago
5x_data_augmentation_1900
v4
· 3 years ago
5x_data_augmentation_original
v3
· 3 years ago
7x_data_augmentation_416
v2
· 3 years ago
7x_data_augmentation_1024
v1
· 3 years ago
v8
2x_data_augmentation_1000
Generated on Aug 21, 2021
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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404 Total Images
View All Images
Dataset Split
Train Set 82%
332Images
Valid Set 12%
48Images
Test Set 6%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x1000
Augmentations
Outputs per training example: 2
Flip: Horizontal
Rotation: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Blur: Up to 1px