Headgear Image Classification Dataset

Dataset Details:

• Image Resolution: All images are 224 x 224 pixels, RGB format (3 channels).
• File Format: JPEG (.jpg) format for all images.
• Classes: 20 categories of headgear, including various styles of hats, caps, and helmets.
• Training Data: 3,620 images.
• Test Data: 100 images.
• Validation Data: 100 images.

Additional Resources:

Alongside the image dataset, the package includes a pre-trained model using the EfficientNetB0 architecture. This model has been fine-tuned for headgear classification, providing a strong baseline for further fine-tuning or deployment in production environments. The accompanying CSV file offers detailed annotations, including file names and their respective class labels, which can be utilize for both model training and evaluation.

Applications:

This dataset is ideal for machine learning practitioners and researchers working on computer vision tasks. It can be use for:

• Headgear Recognition: Identifying and classifying different types of headgear from images.
• Retail and E-Commerce Solutions: Enhancing search and recommendation engines by recognizing headgear in product images.
• Safety and Compliance: Detecting helmets or other safety-relate gear in images for industries where protective equipment is require.
• Fashion and Accessory Classification: Categorizing various styles of headgear in fashion-relate projects.