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rypow/kitchen_utensils_5k

Kitchen Utensils Dataset (5K Images) Dataset Description This dataset contains 5,000 images of kitchen utensils for object detection/classification. Classes (10 total): bowl fork glass knife mug pan plate spatula spoon whisk Dataset Structure Train: ~3,500 images Validation: ~1,000 images Test: ~500 images File Format Images: JPG format Annotations: CSV file with binary labels for each class metadata.csv:… See the full description on the dataset page: https://huggingface.co/datasets/rypow/kitchen_utensils_5k.

sourceHugging Facemitupdated 11mo agoView on Hugging Face
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Dataset Card

license: mit task_categories:

  • —object-detection
  • —image-classification tags:
  • —kitchen-utensils
  • —object-detection size_categories:
  • —1K<n<10K ---

Kitchen Utensils Dataset (5K Images)

Dataset Description

This dataset contains 5,000 images of kitchen utensils for object detection/classification.

Classes (10 total):

  • —bowl
  • —fork
  • —glass
  • —knife
  • —mug
  • —pan
  • —plate
  • —spatula
  • —spoon
  • —whisk

Dataset Structure

  • —Train: ~3,500 images
  • —Validation: ~1,000 images
  • —Test: ~500 images

File Format

  • —Images: JPG format
  • —Annotations: CSV file with binary labels for each class
  • —metadata.csv: Combined metadata for all splits

Usage

python
from datasets import load_dataset

dataset = load_dataset("rypow/kitchen-utensils-5k")
rypow/kitchen_utensils_5k · CoolFace