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README.md
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<!-- Provide a quick summary of the dataset. -->
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The very first publicly available dataset for chicken re-identification.
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## 1 Dataset Details
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The Chicks4FreeID dataset contains top-down view images of individually segmented and annotated chickens (with roosters and ducks also possibly present and labeled as such). 11 different coops with 54 individuals were visited for manual data collection. Each of the 677 images depicts at least one chicken. The identities of the 50 chickens, 2 roosters and 2 ducks were annotated for a total of 1270 animal instances. Annotation additionally contains visibility ratings of "best", "good", and "bad" for each animal instance. Besides chicken re-identification ,the curated dataset also support semantic and instance segmentation. Corresponding masks for these tasks are provided.
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> [!IMPORTANT]
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> For a detailed description and documentation please read the paper and the supplementary material.
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- **Curated by:** Daria Kern and Tobias Schiele
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<!--- **Funded by [optional]:** [More Information Needed]-->
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<!---- **Shared by [optional]:** [More Information Needed]-->
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- **Language(s) (NLP):** English
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- **License:** CC-BY-4.0
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more information coming soon...
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### 1.2 Dataset Sources
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* Coop (1-11)
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* Visibility (best, good, bad)
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more info coming soon...
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## 4 Dataset Creation
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### 4.1 Curation Rationale
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However, the dataset is multipurpose and can also be used for semantic segmentation, instance segmentation, or even anomaly detection. It was structured, annotated, and prepared to support these additional tasks effectively.
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### 4.2 Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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We utilized Labelbox under a free educational license for manual data annotation.
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more information coming soon...
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#### 4.2.4 Who are the annotators?
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<!-- This section describes the people or systems who created the annotations. -->
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<!-- Provide a quick summary of the dataset. -->
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The very first publicly available dataset for chicken re-identification.
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> [!IMPORTANT]
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> For a detailed description and documentation please read the paper and the supplementary material.
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## 1 Dataset Details
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The Chicks4FreeID dataset contains top-down view images of individually segmented and annotated chickens (with roosters and ducks also possibly present and labeled as such). 11 different coops with 54 individuals were visited for manual data collection. Each of the 677 images depicts at least one chicken. The identities of the 50 chickens, 2 roosters and 2 ducks were annotated for a total of 1270 animal instances. Annotation additionally contains visibility ratings of "best", "good", and "bad" for each animal instance. Besides chicken re-identification ,the curated dataset also support semantic and instance segmentation. Corresponding masks for these tasks are provided.
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- **Curated by:** Daria Kern and Tobias Schiele
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<!--- **Funded by [optional]:** [More Information Needed]-->
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<!---- **Shared by [optional]:** [More Information Needed]-->
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- **Language(s) (NLP):** English
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- **License:** CC-BY-4.0
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### 1.2 Dataset Sources
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* Coop (1-11)
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* Visibility (best, good, bad)
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## 4 Dataset Creation
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### 4.1 Curation Rationale
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However, the dataset is multipurpose and can also be used for semantic segmentation, instance segmentation, or even anomaly detection. It was structured, annotated, and prepared to support these additional tasks effectively.
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### 4.2 Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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We utilized Labelbox under a free educational license for manual data annotation.
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#### 4.2.4 Who are the annotators?
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<!-- This section describes the people or systems who created the annotations. -->
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