Dataset Versions

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apenas_resize_sem_aug

Data_aug_tam_normal_810imgs

Data_aug_640x640img_810imgs

Sem_dataaug_tam_normal_322imgs

v1

Sem_dataaug_tam_normal_322imgs

Generated on Mar 14, 2024

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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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322 Total Images

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Dataset Split

Train Set 76%

244Images

Valid Set 14%

45Images

Test Set 10%

33Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

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