Datasets:
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 imagesannotations/: 118 Pascal VOC format XML files
validation/:images/: 30 JPEG imagesannotations/: 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 imageschanel_255: 344 imagesfendi_baguette: 205 imagesgucci_jackie_hobo: 242 imageslady_dior: 416 imagesnegative: 471 imagesprado_cleo: 220 images
designer_handbags/validation/(510 images total):bottega_veneta_mini_jodie: 32 imageschanel_255: 87 imagesfendi_baguette: 52 imagesgucci_jackie_hobo: 61 imageslady_dior: 104 imagesnegative: 118 imagesprado_cleo: 56 images
Classes
The base annotations detect:
suitcase
The designer handbag classification subset categories:
bottega_veneta_mini_jodiechanel_255fendi_baguettegucci_jackie_hobolady_diornegative(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)
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