Supervised Image Classifiers and Out Of Band Input Images?

• finetuner

  36 1,424 5.5 Python

  :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

  

Handling "out of band" images can be tough, but there are techniques like confidence calibration, adversarial training, ensemble models, transfer learning and elastic weight consolidation. Also, testing your model on diverse set of images is important. Neural Search (NS) is a newer technique that can be helpful but not widely adopted yet. Fine-tuning with finetuners is another option that improves pre-trained model's performance on a new task.

• InfluxDB

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