Dataset Versions

2024-02-24 1:59am

Generated on Feb 23, 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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168 Total Images

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Dataset Split

Train Set 88%

147Images

Valid Set 8%

14Images

Test Set 4%

7Images

Preprocessing

Auto-Orient: Applied

Static Crop: 16-80% Horizontal Region, 16-80% Vertical Region

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Histogram Equalization

Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3

Flip: Horizontal

Crop: 0% Minimum Zoom, 13% Maximum Zoom

Rotation: Between -10° and +10°

Grayscale: Apply to 15% of images

Saturation: Between -15% and +15%

Brightness: Between -10% and +10%

Exposure: Between -10% and +10%

Blur: Up to 2px

Noise: Up to 0.1% of pixels

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