shravya11/luggage-bags-dataset

Luggage Bags & Handbags Dataset

This dataset contains images of luggage bags (specifically suitcases) along with Pascal VOC XML bounding box annotations, unannotated harvested luggage images, a luxury designer handbag classification subset, a web-harvested women's handbags subset, and a web-harvested backpacks subset.

Dataset Structure

The dataset consists of the following components:

1. Base Suitcase Object Detection (VOC XML Format)

• train/:
  • images/: 118 JPEG images
  • annotations/: 118 Pascal VOC format XML files
• validation/:
  • images/: 30 JPEG images
  • annotations/: 30 Pascal VOC format XML files

2. Harvested Luggage (Unannotated)

• harvested_luggage/:
  • 816 JPEG images

3. Harvested Handbags (Unannotated Web Search)

• harvested_handbags/:
  • 785 JPEG images

4. Harvested Backpacks (Unannotated Web Search)

• harvested_backpacks/:
  • 795 JPEG images

5. Designer Handbags Classification

• designer_handbags/train/ (2,025 images total):
  • bottega_veneta_mini_jodie: 127 images
  • chanel_255: 344 images
  • fendi_baguette: 205 images
  • gucci_jackie_hobo: 242 images
  • lady_dior: 416 images
  • negative: 471 images
  • prado_cleo: 220 images
• designer_handbags/validation/ (510 images total):
  • bottega_veneta_mini_jodie: 32 images
  • chanel_255: 87 images
  • fendi_baguette: 52 images
  • gucci_jackie_hobo: 61 images
  • lady_dior: 104 images
  • negative: 118 images
  • prado_cleo: 56 images

Classes

The base annotations detect:

• suitcase

The designer handbag classification subset categories:

• bottega_veneta_mini_jodie
• chanel_255
• fendi_baguette
• gucci_jackie_hobo
• lady_dior
• negative (background/non-bag images)
• prado_cleo

Image Specifications

• Format: JPEG (.jpg, .jpeg)
• Total Images (all components): 5079 images (148 base + 816 harvested luggage + 785 harvested handbags + 795 harvested backpacks + 2,535 designer handbags)