Dataset Versions

2023-10-11 12:03pm

Generated on Oct 11, 2023

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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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1969 Total Images

View All Images

Dataset Split

Train Set 79%

1560Images

Valid Set 11%

224Images

Test Set 9%

185Images

Preprocessing

Resize: Stretch to 2048x2048

Augmentations

Outputs per training example: 3

Rotation: Between -15° and +15°

Shear: ±15° Horizontal, ±15° Vertical

Grayscale: Apply to 25% of images

Brightness: Between -24% and +24%

Blur: Up to 1.75px

Noise: Up to 5% of pixels

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