Dataset Versions

2024-05-12 6:56pm

Generated on May 12, 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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349 Total Images

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Dataset Split

Train Set 88%

306Images

Valid Set 8%

28Images

Test Set 4%

15Images

Preprocessing

Auto-Orient: Applied

Isolate Objects: Applied

Static Crop: 25-80% Horizontal Region, 5-89% Vertical Region

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3

Crop: 0% Minimum Zoom, 7% Maximum Zoom

Rotation: Between -5° and +5°

Saturation: Between -30% and +30%

Brightness: Between -15% and +15%

Blur: Up to 2px

Noise: Up to 1.96% of pixels

Bounding Box: Blur: Up to 1.1px

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