Upload folder using huggingface_hub

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- video-classification
+tags:
+- video
+- Object Detection
+- Computer Vision
+- Machine learning
+- Smart Cities
+size_categories:
+- n<1K
+---
+# Fire Detection Dataset - 85 videos
+The dataset comprises **85** videos containing fire and smoke scenes, varying in length and content. Each video frame is annotated with **bounding boxes** that localize instances of fire and smoke, making it a comprehensive resource for **fire monitoring**, **wildfire detection**, and **real-time monitoring systems**. Designed to support **detection systems**, **deep learning**, and **model training**, this dataset is essential for improving **fire management**, **early detection**, and **fire safety** applications.
+
+By leveraging this dataset, researchers and developers can enhance **detection algorithms**, train **machine learning models**, and improve **accuracy in identifying fire events**, **smoke detection**, and burnt areas under diverse environmental conditions.- **[Get the data](https://unidata.pro/datasets/smoke-and-fire-detection-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=fire-and-smoke-dataset)**
+
+Each video sequence has been meticulously annotated by experts with precise bounding boxes that accurately localize all visible instances of fire and smoke throughout the frames.
+
+# Frequently Asked Questions
+
+## How were the videos in the fire and smoke dataset collected?
+
+The dataset was collected by the UniData team in controlled and simulated environments designed to reproduce a variety of realistic fire scenarios.
+
+## What video formats are included in the fire surveillance dataset?
+
+The fire surveillance dataset contains videos in MP4 format with annotations provided as JSON files. Using widely supported file formats simplifies integration with popular deep learning frameworks such as PyTorch, TensorFlow, MMDetection, Detectron2, and YOLO-based pipelines.
+
+## Who can benefit from this fire and smoke dataset?
+
+This fire and smoke dataset is valuable for AI researchers, computer vision engineers, public safety organizations, smart city developers, industrial monitoring companies, security technology providers, universities, and organizations developing intelligent surveillance systems.
+
+# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/smoke-and-fire-detection-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=fire-and-smoke-dataset) to discuss your requirements and pricing options.
+
+Researchers working on early warning systems will find the extensive footage of incipient fire stages especially valuable.
+Supports creation of fire prevention systems by analyzing fire behavior in different contexts.
+
+# 🌐 [UniData](https://unidata.pro/datasets/smoke-and-fire-detection-videos-dataset/?utm_source=huggingface&utm_medium=referral&utm_campaign=fire-and-smoke-dataset) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects

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