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README.md

@@ -1,33 +1,113 @@
----
-configs:
-- config_name: default
-  data_files:
-  - split: original
-    path: data/original-*
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: label
-    dtype: string
-  - name: filename
-    dtype: string
-  splits:
-  - name: original
-    num_bytes: 808128.0
-    num_examples: 33
-  download_size: 808144
-  dataset_size: 808128.0
----
-
-# Your Dataset Title
-
-## Description
-This is a placeholder README. Please replace this text with a description of your dataset,
-its contents, how it was created, and any other relevant information.
-
-## Dataset Structure
-Describe the splits and features of your dataset here.
-
-## Usage
-Provide examples of how to load and use your dataset.
+---
+license: mit
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- biology
+- insects
+- pest-detection
+- computer-vision
+- image-classification
+size_categories:
+- n<1K
+---
+
+# Spotted Lanternfly Detection Dataset
+
+## Dataset Description
+
+This dataset contains 33 images of spotted lanternflies and non-lanternfly subjects, cropped to 224x224 pixels for machine learning model training.
+
+### Dataset Summary
+
+The dataset is designed for training computer vision models to detect spotted lanternflies (Lycorma delicatula), an invasive species that poses a threat to agriculture and ecosystems.
+
+### Supported Tasks
+
+- **Image Classification**: Binary classification to detect presence/absence of spotted lanternflies
+- **Object Detection**: Can be adapted for bounding box detection tasks
+
+### Dataset Structure
+
+- **Total Images**: 33
+- **Has Lanternfly**: 15 images
+- **No Lanternfly**: 18 images
+- **Image Size**: 224x224 pixels
+- **Format**: RGB images in JPG format
+
+### Data Fields
+
+- `image`: RGB image (224x224 pixels)
+- `label`: String label ("has_lanternfly" or "no_lanternfly")
+- `filename`: Original filename of the image
+
+### Data Splits
+
+- `original`: All 33 images (no train/test split provided)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("rlogh/lanternfly-detection", split="original")
+
+# View a sample
+print(dataset[0])
+```
+
+## Dataset Creation
+
+### Source Data
+
+Images were collected and manually labeled for the presence or absence of spotted lanternflies.
+
+### Annotations
+
+All images were manually annotated by domain experts with binary labels:
+- `has_lanternfly`: Image contains one or more spotted lanternflies
+- `no_lanternfly`: Image does not contain spotted lanternflies
+
+### Personal and Sensitive Information
+
+This dataset does not contain any personal or sensitive information.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset can be used to develop automated detection systems for spotted lanternflies, which can help in:
+- Early detection of invasive species
+- Agricultural monitoring and protection
+- Environmental conservation efforts
+
+### Discussion of Biases
+
+The dataset may contain biases related to:
+- Lighting conditions in the original images
+- Background environments where lanternflies were photographed
+- Seasonal variations in lanternfly appearance
+
+### Other Known Limitations
+
+- Limited dataset size (33 images)
+- Single geographic region (may not generalize to other areas)
+- Focused on adult spotted lanternflies (nymphs may look different)
+
+## Citation
+
+```bibtex
+@dataset{spotted_lanternfly_detection_2024,
+  title={Spotted Lanternfly Detection Dataset},
+  author={Your Name},
+  year={2024},
+  url={https://huggingface.co/datasets/rlogh/lanternfly-detection}
+}
+```
+
+## License
+
+This dataset is released under the MIT License.