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README.md
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---
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pretty_name: Fruit Ripeness Dataset
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task_categories:
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viewer: true
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dataset_info:
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features:
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splits:
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- name: Apple
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num_examples: 200
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- name: Banana
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num_examples: 200
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- name: DragonFruit
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num_examples: 200
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- name: Grape
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num_examples: 200
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- name: Guava
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num_examples: 200
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- name: Kiwi
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num_examples: 200
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- name: Lychee
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num_examples: 200
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- name: Mango
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num_examples: 200
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- name: Orange
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num_examples: 200
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- name: Papaya
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num_examples: 200
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- name: Peach
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num_examples: 200
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- name: pear
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num_examples: 200
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- name: Pomegranate
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num_examples: 200
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- name: Pomelo
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num_examples: 200
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- name: Strawberry
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num_examples: 200
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- name: Tomato
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num_examples: 200
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# configs:
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# - config_name: default
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# data_files:
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# - split: test
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# path: data/test-*
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# - split: dev
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# path: data/dev-*
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---
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@@ -105,3 +74,5 @@ The dataset contains **3,200 high-quality expert-annotated images** covering **1
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## 📦 Data Format
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---
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pretty_name: Fruit Ripeness Dataset
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task_categories:
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- image-classification
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- growth_stage
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viewer: true
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annotations_creators:
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- expert-generated
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language_creators:
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- not-applicable
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language:
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- en
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license:
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- cc-by-4.0
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dataset_info:
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features:
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- name: fruit_type
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dtype: string
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- name: image_name
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dtype: string
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- name: image
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dtype: image
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- name: growth_stage
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dtype: string
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- name: recommendation
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dtype: string
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- name: consumer_score
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dtype: int32
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---
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## 📦 Data Format
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Organized in `imagefolder` style:
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