Dataset Versions

v4

car_BB_v4_gray

Generated on Dec 22, 2023

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TXT annotations and YAML config used with YOLOv11.

TXT annotations and YAML config used with YOLOv9.

TXT annotations and YAML config used with YOLOv8.

TXT annotations and YAML config used with YOLOv5.

TXT annotations and YAML config used with YOLOv7.

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

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1334 Total Images

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Dataset Split

Train Set 94%

1251Images

Valid Set 5%

72Images

Test Set 1%

11Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 1200x768

Grayscale: Applied

Augmentations

Outputs per training example: 3

Cutout: 10 boxes with 5% size each

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