Dataset Versions

v17

ArtisanModel-Flip-v8

Generated on Sep 29, 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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544 Total Images

View All Images

Dataset Split

Train Set 86%

467Images

Valid Set 10%

52Images

Test Set 5%

25Images

Preprocessing

Auto-Orient: Applied

Resize: Fit (white edges) in 640x640

Auto-Adjust Contrast: Using Adaptive Equalization

Grayscale: Applied

Modify Classes: 1 remapped, 0 dropped

Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3

Flip: Horizontal

90° Rotate: Clockwise, Counter-Clockwise

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Rotation: Between -17° and +17°

Brightness: Between -20% and +20%

Exposure: Between -15% and +15%

Mosaic: Applied

Bounding Box: Flip: Horizontal

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