Dataset Versions

v2

cars_ulti_sup

Generated on Dec 2, 2021

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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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332 Total Images

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Dataset Split

Train Set 87%

289Images

Valid Set 13%

43Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 208x208

Augmentations

Outputs per training example: 3

Flip: Horizontal

Exposure: Between -3% and +3%

Blur: Up to 0.25px

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