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Siftformer 1.5

| Index | Class | | 0 | 정상 (normal) | | 1 | 졸음 (drowsy) | | 2 | 주의분산 (distracted) | | 3 | 폭행 (violence) |

Fuentehuggingface.co/koreashin/siftformer-1.5/tree/8f49ab6736b6ce44defe4726daacb4fc7150eb6b
TipoOtherVersiónPytorch modelCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
18,7 MB
Versión
vPytorch model
Actualizado
11 oct 2026
Fuente
Hugging Face

Descripción de la fuente

SiftFormer 1.5

Classes

IndexClass
0정상 (normal)
1졸음 (drowsy)
2주의분산 (distracted)
3폭행 (violence)

Input

  • Shape: [B, T, C, H, W]
  • T = 30 frames
  • H = W = 224
  • C = 3 (RGB)
  • ImageNet normalization (mean [0.485, 0.456, 0.406], std [0.229, 0.224, 0.225])
  • dtype: float32 or bfloat16

Fuentes

1 fuente
Hugging FacePrincipalVersión 8f49ab6736b6ce44defe4726daacb4fc7150eb6b
huggingface.co/koreashin/siftformer-1.5/tree/8f49ab6736b6ce44defe4726daacb4fc7150eb6b

Verificado 11 oct

Artefactos del modelo

1 artefacto

pytorch_model.bin

bin · 18,7 MB · SHA-256 b6e0769b9167…2288 · Hugging Face

Download file

Extractos de fuentes

2 extractos
Readme2 agohuggingface.co/koreashin/siftformer-1.5

--- license: apache-2.0 tags: - video-classification - driver-behavior pipeline_tag: video-classification --- # SiftFormer 1.5 ## Classes | Index | Class | |-------|-------| | 0 | 정상 (normal) | | 1 | 졸음 (drowsy) | | 2 | 주의분산 (distracted) | | 3 | 폭행 (violence) | ## Input - Shape: `[B, T, C, H, W]` - `T = 30` frames - `H = W = 224` - `C = 3` (RGB) - ImageNet normalization (mean `[0.485, 0.456, 0.406]`, std `[0.229, 0.224, 0.225]`) - dtype: `float32` or `bfloat16`

Note2 agohuggingface.co/koreashin/siftformer-1.5

Source context: 0 downloads · 0 likes · Pipeline video-classification · Repo koreashin/siftformer-1.5