size_categories:n<1K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: object
    dtype: string
  - name: url
    dtype: string
  - name: count
    dtype: int64
  splits:
  - name: train
    num_bytes: 44493
    num_examples: 360
  download_size: 24454
  dataset_size: 44493
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Description

This dataset focuses on object-specific counting and includes 360 images in total, with 10 images for each of nine different objects  "dog", "cats", "lion", "chair", "goat", "cow", "cherry", "rose", "boat", at each count level from two to five, all manually collected from the Internet.
The counts do not exceed five due to the rarity of images as the object count increases. 
This dataset is primarily used to evaluate how the counting ability varies with different object types. 