Train model with negative items
tettoffensive opened this issue · comments
Brad Larson mentioned they trained with: Healthy Corn, Too Far Away, Not Corn, and Not A Plant
- Too Far Away
- Not A Food
Thinking we find the dominant color of each ingredient dataset and grab images via an hexadecimal image color search
Brad also mentioned they just needed one or two images screen grabbed from when the model falsely recognized.