Dataset Versions

2024-02-14 12:15am

Generated on Feb 13, 2024

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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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1259 Total Images

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Dataset Split

Train Set 86%

1080Images

Valid Set 9%

117Images

Test Set 5%

62Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 512x512

Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3

Flip: Horizontal

90° Rotate: Clockwise, Counter-Clockwise

Rotation: Between -15° and +15°

Shear: ±10° Horizontal, ±10° Vertical

Hue: Between -16° and +16°

Saturation: Between -11% and +11%

Brightness: Between -15% and +15%

Exposure: Between -10% and +10%

Blur: Up to 1.4px

Noise: Up to 0.46% of pixels

Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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