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Pose Estimation: front,side,back

Model description

This model predicts the person's body position relative to the camera: front, side, back. It was trained on Lucy in the Sky images.

This model is a fine-tuned version of google/vit-base-patch16-224-in21k.

Training and evaluation data

It achieves the following results on the evaluation set:

  • Loss: 0.2524
  • Accuracy: 0.9355

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0
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Finetuned from

Space using LucyintheSky/pose-estimation-front-side-back 1