metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lens-3
results: []
Camera Lens Focal Length
This model predicts the focal length that the camera lens used to capture an image. It takes in an image and returns one of the following labels:
- ULTRA-WIDE
- WIDE
- MEDIUM
- LONG-LENS
- TELEPHOTO
How to use
from transformers import pipeline
pipe = pipeline("image-classification", model="tonyassi/camera-lens-focal-length")
result = pipe('image.png')
print(result)
Dataset
Trained on a total of 5000 images. 1000 images from each label. Images were taken from popular Hollywood movies.
ULTRA-WIDE
WIDE
MEDIUM
LONG-LENS
TELEPHOTO
Model description
This model is a fine-tuned version of google/vit-base-patch16-224-in21k.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1