@@ -19,6 +19,7 @@ Please follow the instructions on the relevant files for the training, predictio
(_pre-trained weights for baseline submission included_)
# How to Submit
Please go through https://github.com/AIcrowd/food-recognition-challenge-starter-kit/ for understanding the submission process. This repository just acts as an example.
As noted at https://github.com/AIcrowd/food-recognition-challenge-starter-kit/ this repository contains [aicrowd.json](aicrowd.json) and custom changes
to [Dockerfile](Dockerfile)
```
...
...
@@ -40,7 +41,7 @@ eval.py .
predoctions = model.detect(images, verbose=0)
```
By writing this code, you are basically allowing AICrowd Auto-Evaluators to pass private test data into your model and detect predictions in runtime
By writing this code, we are basically allowing AICrowd Auto-Evaluators to pass private test data into your model and detect predictions in runtime
