Duplicate from GabrieleMagrini/FRED

Co-authored-by: Gabriele Magrini <GabrieleMagrini@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+tags:
+- drone
+- drones
+- event_camera
+- event
+- neuromorphic
+- detection
+- tracking
+- forecasting
+- multimodal
+pretty_name: 'FRED: Florence RGB-Event Dataset'
+size_categories:
+- 1M<n<10M
+---
+
+<p align="center" style="font-size:40px;">
+  </b>⭐ FRED: Florence RGB-Event Drone dataset ⭐</b>
+</p>
+
+
+<div align="center">
+  <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/sliders_auto/montage.webp?raw=true" 
+     alt="Demo HDR"
+    width=720/>
+</div>
+
+
+Official repository for the  **FRED dataset**, a large-scale multimodal dataset specifically designed for drone detection, tracking, and trajectory forecasting, with spatiotemprally  **synchronized RGB and event data**.
+It includes **train** and **test** splits with zipped subfolders for each sequence.
+
+The dataset can also be **downloaded** from [here](https://drive.google.com/drive/folders/1pISIErXOx76xmCqkwhS3-azWOMlTKZMp?usp=share_link).
+The dataset splits in .txt format, along with the alternative **challenging split**, can be found [here](https://github.com/miccunifi/FRED/tree/main/dataset_splits).
+
+**Demos and examples** can be found in the official [website](https://miccunifi.github.io/FRED/). Check it out, it's pretty cool! :)
+
+
+---
+
+## 📂 Dataset Structure
+
+```
+FRED/
+ ├── train/
+ │    ├── 0.zip
+ │    ├── 1.zip
+ │    └── ...
+ ├── test/
+ │    ├── 100.zip
+ │    ├── 101.zip
+ │    └── ...
+```
+
+Each `.zip` file corresponds to one sequence (rgb frames, event data, and annotations).
+Event data comprends both already extracted event frames and the relative **.hdf5 file**, containing the raw event stream.
+
+---
+
+## 📝 Annotation Format
+
+Each sequence includes two **`.txt` annotation file** with bounding box and identity information for every frame.  
+Since rgb images are padded to enable a same coordinate space between the two modalities, the event videos have additional boxes corresponding to the padded area in the RGB.
+To better divide the 2 cases, we divided the annotation into **`coordinates.txt`** that represents the **extended boxes** and the **`coordinates_rgb.txt`** for the boxes **excluding the padding**.
+
+We reccomend using the **extended boxes** version since it facilitates the training and the overall cases in which the drone falls into the padding is relatively limited when compared to the number of samples.
+
+The format of the annotations is:
+
+```
+time: x1, y1, x2, y2, id, class
+```
+- **time**  → time relative to the start of the recording in 'seconds.microseconds' for the annotation
+- **x1, y1** → top-left corner of the bounding box  
+- **x2, y2** → bottom-right corner of the bounding box  
+- **id** → unique identifier for the drone, consistent across frames (for tracking)  
+- **class** → drone type label  
+
+📌 Example:
+```
+1.33332: 490.0, 413.0, 539.0, 448.0, 1, DJI Mini 2
+6.33327: 609.0, 280.0, 651.0, 308.0, 2, DarwinFPV cineape20 
+```
+
+This structure is compatible with standard detection and tracking pipelines, while maintaining instance-level identity across time.
+
+---
+
+## 📥 Download
+
+### Clone the entire dataset
+```bash
+git lfs install
+git clone https://huggingface.co/datasets/GabrieleMagrini/FRED
+```
+
+### Download specific sequences
+```bash
+wget https://huggingface.co/datasets/GabrieleMagrini/FRED/train/0.zip
+wget https://huggingface.co/datasets/GabrieleMagrini/FRED/test/100.zip
+```
+
+### Use with 🤗 Datasets
+```python
+from datasets import load_dataset
+
+# Load full dataset
+ds = load_dataset("GabrieleMagrini/FRED")
+
+# Load specific split
+train_set = load_dataset("GabrieleMagrini/FRED", split="train")
+test_set  = load_dataset("GabrieleMagrini/FRED", split="test")
+```
+
+---
+
+## 🖼️ Examples
+
+<div align="center">
+            <h1 style="font-size: 2rem; margin-bottom: 1rem; color: #fff;">Night</h1>
+</div>
+<div style="text-align:center;">
+  <div style="display:inline-block; margin:0 10px;">
+    <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/rgb_night.gif?raw=true" width="400"/>
+  </div>
+  <div style="display:inline-block; margin:0 10px;">
+    <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/event_night.gif?raw=true" width="400"/>
+  </div>
+</div>
+
+
+<div align="center">
+            <h1 style="font-size: 2rem; margin-bottom: 1rem; color: #fff;">Raining</h1>
+</div>
+<div style="text-align:center;">
+  <div style="display:inline-block; margin:0 10px;">
+    <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/webps/rgb_rain.webp?raw=true" width="400"/>
+  </div>
+  <div style="display:inline-block; margin:0 10px;">
+    <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/webps/event_rain.webp?raw=true" width="400"/>
+  </div>
+</div>
+
+<div align="center">
+            <h1 style="font-size: 2rem; margin-bottom: 1rem; color: #fff;">Indoor</h1>
+</div>
+<div style="text-align:center;">
+  <div style="display:inline-block; margin:0 10px;">
+    <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/rgb_indoor.gif?raw=true" width="400"/>
+  </div>
+  <div style="display:inline-block; margin:0 10px;">
+    <img src="https://github.com/miccunifi/FRED/blob/main/static/videos/event_indoor.gif?raw=true" width="400"/>
+  </div>
+</div>
+
+
+
+---
+
+## ✨ Citation
+
+If you use **FRED** in your research, please cite:
+
+```
+@inproceedings{magrini2025fred,
+  title={FRED: The Florence RGB-Event Drone Dataset},
+  author={Magrini, Gabriele and Marini, Niccol{`o} and Becattini, Federico and Berlincioni, Lorenzo and Biondi, Niccol{`o} and Pala, Pietro and Del Bimbo, Alberto},
+  booktitle={Proceedings of the 33rd ACM International conference on multimedia},
+  year={2025}
+}
+```

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