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Yolo Vietnamese Id Detection | ST Studio

Recursos/Yolo Vietnamese Id Detection

ModelListadosExterno

Yolo Vietnamese Id Detection

YOLO document detector for Vietnamese ID-card style documents.

YOLO document detector for Vietnamese ID-card style documents.

Fontehuggingface.co/dathuynh1108/yolo-vietnamese-id-detection/tree/2c68e12ec8043eace96e03dfdb4925a469aba4eb

TipoOtherVersãoRevision 2c68e12

Fonte do modelo

Tipo: Other
Tamanho do arquivo: 5,13–113 MB
Versão: vRevision 2c68e12
Atualizado: 16 de set. de 2026
Downloads: 56
Tarefas: Detecção de objetos
Fonte: Hugging Face

Descrição da fonte

dathuynh1108/yolo-vietnamese-id-detection

YOLO document detector for Vietnamese ID-card style documents.

Artifacts

Fontes

1 fonte

Hugging FacePrimárioVersão 2c68e12ec8043eace96e03dfdb4925a469aba4eb

huggingface.co/dathuynh1108/yolo-vietnamese-id-detection/tree/2c68e12ec8043eace96e03dfdb4925a469aba4eb

Verificado 16 de set.

Artefatos de modelo

11 artefatos

base_models/yolo/yolo26n.pt

pt · 5,29 MB · SHA-256 9b09cc8bf347…4fef · Hugging Face

base_models/yolo/yolo26x.pt

pt · 113 MB · SHA-256 9fdd44a31c50…3e92 · Hugging Face

Trechos de fonte

2 trechos

Readme16 de set.huggingface.co/dathuynh1108/yolo-vietnamese-id-detection

weights/best.pt: best trained YOLO checkpoint

weights/last.pt: last trained YOLO checkpoint, if present

dataset.yaml: YOLO dataset config used for training

dataset_manifest.json: generated dataset counts and source paths

metrics/results.csv: Ultralytics training metrics

metrics/args.yaml: Ultralytics training args, if present

Training Run

Run directory: /workspace/doc-detection/runs/detect/output/yolo/cccd_yolo_full
Dataset root: /workspace/doc-detection/datasets/merged.yolo

Best Metrics

Selected from metrics/results.csv by highest metrics/mAP50-95(B).

metric	value
`epoch`	`94`
`metrics/precision(B)`	`0.99551`
`metrics/recall(B)`	`0.99712`
`metrics/mAP50(B)`	`0.99492`
`metrics/mAP50-95(B)`	`0.98697`
`val/box_loss`	`0.16937`
`val/cls_loss`	`0.06268`
`val/dfl_loss`	`0.00612`

Final Metrics

Last row from metrics/results.csv.

metric	value
`epoch`	`100`
`metrics/precision(B)`	`0.99506`
`metrics/recall(B)`	`0.99348`
`metrics/mAP50(B)`	`0.99449`
`metrics/mAP50-95(B)`	`0.98619`
`val/box_loss`	`0.16679`
`val/cls_loss`	`0.07207`
`val/dfl_loss`	`0.00602`

base_models/yolo26n-pose.pt

pt · 7,51 MB · SHA-256 eb3bb8268828…22a9 · Hugging Face

dkkd_detection/dkkd_yolo2/weights/best.pt

pt · 113 MB · SHA-256 76d9198ad266…5984 · Hugging Face

id_corner_detection/id_card_corner_detection_smoke_cpu/weights/best.pt

pt · 5,13 MB · SHA-256 1fdcb3cf29b6…2bf8 · Hugging Face

id_corner_detection/id_card_corner_detection_smoke_cpu/weights/last.pt

pt · 5,13 MB · SHA-256 a6a580d9bb57…3ad8 · Hugging Face

id_corner_pose/id_card_corner_pose_mps_candidate_416/weights/best.pt

pt · 5,63 MB · SHA-256 a9d51027c8fc…2caf · Hugging Face

id_corner_pose/id_card_corner_pose_mps_candidate_416/weights/last.pt

pt · 5,63 MB · SHA-256 6cf6def8d2a9…370c · Hugging Face

id_corner_pose/id_card_corner_pose/weights/best.pt

pt · 5,66 MB · SHA-256 82f58e4a2c55…fa3d · Hugging Face

id_corner_pose/weights/best.pt

pt · 5,66 MB · SHA-256 11c85cd24ca2…5fdc · Hugging Face

id_corner_pose/weights/last.pt

pt · 5,66 MB · SHA-256 1e8e76f7fb7b…bc08 · Hugging Face

--- library_name: ultralytics pipeline_tag: object-detection tags: - yolo - object-detection - vietnamese-id-card --- # dathuynh1108/yolo-vietnamese-id-detection YOLO document detector for Vietnamese ID-card style documents. ## Artifacts - `weights/best.pt`: best trained YOLO checkpoint - `weights/last.pt`: last trained YOLO checkpoint, if present - `dataset.yaml`: YOLO dataset config used for training - `dataset_manifest.json`: generated dataset counts and source paths - `metrics/results.csv`: Ultralytics training metrics - `metrics/args.yaml`: Ultralytics training args, if present ## Training Run - Run directory: `/workspace/doc-detection/runs/detect/output/yolo/cccd_yolo_full` - Dataset root: `/workspace/doc-detection/datasets/merged.yolo` ## Best Metrics Selected from `metrics/results.csv` by highest `metrics/mAP50-95(B)`. | metric | value | | --- | --- | | `epoch` | `94` | | `metrics/precision(B)` | `0.99551` | | `metrics/recall(B)` | `0.99712` | | `metrics/mAP50(B)` | `0.99492` | | `metrics/mAP50-95(B)` | `0.98697` | | `val/box_loss` | `0.16937` | | `val/cls_loss` | `0.06268` | | `val/dfl_loss` | `0.00612` | ## Final Metrics Last row from `metrics/results.csv`. | metric | value | | --- | --- | | `epoch` | `100` | | `metrics/precision(B)` | `0.99506` | | `metrics/recall(B)` | `0.99348` | | `metrics/mAP50(B)` | `0.99449` | | `metrics/mAP50-95(B)` | `0.98619` | | `val/box_loss` | `0.16679` | | `val/cls_loss` | `0.07207` | | `val/dfl_loss` | `0.00602` |

Note16 de set.huggingface.co/dathuynh1108/yolo-vietnamese-id-detection

Source context: 56 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo dathuynh1108/yolo-vietnamese-id-detection