---
# System prepended metadata

title: OmniEyes
tags: [Interviews]

---

# OmniEyes
###### tags: `Interviews`
## Question
1. 在AI cup中，有沒有試過不同資料長度的摘要作為訓練資料(改用可以接受不同長度的模型)?結果跟固定長度得比如何?
[Deep learning with different input size time series data](https://towardsdatascience.com/neural-network-for-input-of-variable-length-using-tensorflow-timedistributed-wrapper-a45972f4da51)

    [Deep learning with different input size images](https://stats.stackexchange.com/questions/388859/is-it-possible-to-give-variable-sized-images-as-input-to-a-convolutional-neural)

## JD
1. 街景圖資辨識與標記
2. 車隊駕駛狀況評估