Dataset Versions

add_last_package_with_and_exposure_2

small_dataset_with_rotation

small_data_fixe remove_back_no_augmentation

After_remove_all_back_images_rotation

test_dataset_2.8K_removed_some_pictures_rot_flip-rotation_clock

v9

add_last_package_with_and_exposure_2

Generated on Aug 19, 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.

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6964 Total Images

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Dataset Split

Train Set 96%

6714Images

Valid Set 4%

250Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3

Exposure: Between -10% and +10%

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