Dataset Versions

v14

2022-09-23 10:16am

Generated on Sep 23, 2022

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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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652 Total Images

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Dataset Split

Train Set 92%

600Images

Valid Set 4%

24Images

Test Set 4%

28Images

Preprocessing

Static Crop: 0-100% Horizontal Region, 53-67% Vertical Region

Resize: Stretch to 256x192

Auto-Adjust Contrast: Using Adaptive Equalization

Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3

Rotation: Between -5° and +5°

Blur: Up to 0.5px

Bounding Box: Blur: Up to 0.5px

Bounding Box: Noise: Up to 5% of pixels

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