Product counter Image Dataset

Try Pre-Trained Model

v9

2024-04-10 1:31pm

Generated on Apr 10, 2024

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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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593 Total Images

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Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Annotation Visualization

Dataset Split

Train Set 90%

531Images

Valid Set 10%

59Images

Test Set 1%

3Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Grayscale: Apply to 60% of images

Hue: Between -150° and +150°

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