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.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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.gitignore

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+*.jpg
+*.csv

README.md

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+---
+license: agpl-3.0
+library: ultralytics
+tags:
+- object-detection
+- pytorch
+- roboflow-universe
+- pickle
+- face-detection
+---
+# Face Detection using YOLOv8
+
+This model was fine tuned on a dataset of over 10k images containing human faces. The model was fine tuned for 100 epochs with a batch size of 16 on a single NVIDIA V100 16GB GPU, it took around 140 minutes for the fine tuning to complete.
+
+## Downstream Tasks
+
+- __Face Detection__: This model can directly use this model for face detection or it can be further fine tuned own a custom dataset to improve the prediction capabilities.
+- __Face Recognition__: This model can be fine tuned to for face recognition tasks as well, create a dataset with the images of faces and label them accordingly using name or any ID and then use this model as a base model for fine tuning.
+
+# Example Usage
+
+```python
+# load libraries
+from huggingface_hub import hf_hub_download
+from ultralytics import YOLO
+from supervision import Detections
+from PIL import Image
+
+# download model
+model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename="model.pt")
+
+# load model
+model = YOLO(model_path)
+
+# inference
+image_path = "/path/to/image"
+output = model(Image.open(image_path))
+results = Detections.from_ultralytics(output[0])
+
+```
+
+
+# Links
+
+- __Dataset Source__: [Roboflow Universe](https://universe.roboflow.com/large-benchmark-datasets/wider-face-ndtcz/dataset/1)
+- __Weights & Biases__: [Run Details](https://wandb.ai/2wb2ndur/Face-Detection/overview?workspace=user-2wb2ndur) 
+- __Training Artifacts__: [training-artifacts](./fine-tune-artifacts/)

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fine-tune-artifacts/args.yaml

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+task: detect
+mode: train
+model: yolov8n.pt
+data: data.yaml
+epochs: 20
+patience: 50
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: disk
+device: 0
+workers: 8
+project: Face-Detection
+name: laced-silence-2
+exist_ok: false
+pretrained: true
+optimizer: AdamW
+verbose: true
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+max_det: 300
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+plots: true
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+cfg: null
+tracker: botsort.yaml
+save_dir: Face-Detection/laced-silence-2

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