Initial Commit
Browse files- .gitignore +2 -0
- README.md +44 -0
- events.out.tfevents.1699172798.7b5d18c3a8a9.250.0 +3 -0
- fine-tune-artifacts/F1_curve.png +0 -0
- fine-tune-artifacts/PR_curve.png +0 -0
- fine-tune-artifacts/P_curve.png +0 -0
- fine-tune-artifacts/R_curve.png +0 -0
- fine-tune-artifacts/args.yaml +98 -0
- fine-tune-artifacts/confusion_matrix.png +0 -0
- fine-tune-artifacts/confusion_matrix_normalized.png +0 -0
- fine-tune-artifacts/results.png +0 -0
- model.pt +3 -0
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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library: ultralytics
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tags:
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- object-detection
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- pytorch
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- roboflow-universe
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- pickle
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- face-detection
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---
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# Face Detection using YOLOv8
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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.
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## Downstream Tasks
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- __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.
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- __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.
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# Example Usage
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```python
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# load libraries
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from huggingface_hub import hf_hub_download
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from ultralytics import YOLO
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from supervision import Detections
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from PIL import Image
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# download model
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model_path = hf_hub_download(repo_id="arnabdhar/YOLOv8-Face-Detection", filename="model.pt")
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# load model
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model = YOLO(model_path)
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# inference
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image_path = "/path/to/image"
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output = YOLO(Image.open("image_path"))
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results = Detections.from_ultralytics(output[0])
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```
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# Links
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- __Dataset Source__: [Roboflow Universe](https://universe.roboflow.com)
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- __Weights & Biases__: [Run Details](https://wandb.ai/2wb2ndur/Face-Detection/overview?workspace=user-2wb2ndur)
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- __Training Artifacts__: [training-artifacts](./fine-tune-artifacts/)
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events.out.tfevents.1699172798.7b5d18c3a8a9.250.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8be81d874743107ee94507875b30f9d952ab8e1092fdba6f20a6c36d5578da08
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size 2832663
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fine-tune-artifacts/F1_curve.png
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fine-tune-artifacts/PR_curve.png
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fine-tune-artifacts/P_curve.png
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fine-tune-artifacts/R_curve.png
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fine-tune-artifacts/args.yaml
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task: detect
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mode: train
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model: yolov8n.pt
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data: data.yaml
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epochs: 20
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patience: 50
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batch: 16
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imgsz: 640
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save: true
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save_period: -1
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cache: disk
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device: 0
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workers: 8
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project: Face-Detection
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name: laced-silence-2
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exist_ok: false
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pretrained: true
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optimizer: AdamW
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verbose: true
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seed: 0
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deterministic: true
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single_cls: false
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rect: false
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cos_lr: true
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close_mosaic: 10
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resume: false
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amp: true
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fraction: 1.0
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profile: false
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freeze: null
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: false
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save_hybrid: false
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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source: null
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show: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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vid_stride: 1
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stream_buffer: false
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line_width: null
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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boxes: true
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format: torchscript
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keras: false
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optimize: false
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int8: false
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dynamic: false
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simplify: false
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opset: null
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workspace: 4
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nms: false
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lr0: 3.0e-05
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0005
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warmup_epochs: 5
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warmup_momentum: 0.8
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warmup_bias_lr: 0.1
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.0
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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hsv_v: 0.4
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degrees: 0.0
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translate: 0.1
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scale: 0.5
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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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cfg: null
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tracker: botsort.yaml
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save_dir: Face-Detection/laced-silence-2
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fine-tune-artifacts/confusion_matrix.png
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fine-tune-artifacts/confusion_matrix_normalized.png
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fine-tune-artifacts/results.png
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:37396ac6a9601ab9f5177e4231b09d81cf6f65a7f22db99ec3b36ab63f674e71
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size 6247065
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