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
v2
7x_data_augmentation_416
Generated on Aug 18, 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.
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TXT annotations and YAML config used with YOLOv7.
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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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1234 Total Images
View All Images
Dataset Split
Train Set 94%
1162Images
Valid Set 4%
48Images
Test Set 2%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 7
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 5% of pixels