Views
No views yet
| mAP(50) | mAP50-95 | precision | recall | fitness |
|---|---|---|---|---|
| 0.871 | 0.529 | 0.894 | 0.796 | 0.529 |
| Dataset | mAP(50) | mAP50-95 | precision | recall | fitness |
|---|---|---|---|---|---|
| DAD-3D | 0.937 | 0.535 | 0.892 | 0.892 | 0.535 |
| 300W-LP | 0.855 | 0.265 | 0.827 | 0.883 | 0.265 |
1from huggingface_hub import hf_hub_download
2from ultralytics import YOLO
3
4model_path = hf_hub_download(
5 repo_id="abhiWanKenobi/yolov8n-head-detection",
6 filename="yolov8n_head_detector.pt",
7)
8model = YOLO(model_path)
9results = model("image.jpg")1@inproceedings{vu15heads,
2 author = {Vu, Tuan{-}Hung and Osokin, Anton and Laptev, Ivan},
3 title = {Context-aware {CNNs} for person head detection},
4 booktitle = {International Conference on Computer Vision (ICCV)},
5 year = {2015}}1@article{DBLP:journals/corr/ZhuLLSL15,
2 author = {Xiangyu Zhu and
3 Zhen Lei and
4 Xiaoming Liu and
5 Hailin Shi and
6 Stan Z. Li},
7 title = {Face Alignment Across Large Poses: {A} 3D Solution},
8 journal = {CoRR},
9 volume = {abs/1511.07212},
10 year = {2015},
11 url = {http://arxiv.org/abs/1511.07212},
12 archivePrefix = {arXiv},
13 eprint = {1511.07212},
14 timestamp = {Mon, 13 Aug 2018 16:48:23 +0200},
15 biburl = {https://dblp.org/rec/bib/journals/corr/ZhuLLSL15},
16 bibsource = {dblp computer science bibliography, https://dblp.org}
17}
181@inproceedings{dad3dheads,
2 title={DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image},
3 author={Martyniuk, Tetiana and Kupyn, Orest and Kurlyak, Yana and Krashenyi, Igor and Matas, Ji\v{r}i and Sharmanska, Viktoriia},
4 booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
5 year={2022}
6}