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Amazon SageMaker: Build an Object Detection Model Using Images Labeld with Ground Truth

ย Course Description

์ด ๊ณผ์ •์—์„œ๋Š” ์ „ ์„ธ๊ณ„ ์ด ๊ณผ์ •์—์„œ๋Š” ์ „ ์„ธ๊ณ„ AI/ML ๊ธฐ์ˆ  ๋ฆฌ๋”์ธ Denis Batalov ๋ฐ•์‚ฌ๊ฐ€ Amazon SageMaker ๋ฐ Amazon SageMaker Ground Truth๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ๊ณ„ ํ•™์Šต ํŒŒ์ดํ”„๋ผ์ธ์„ ๊ตฌํ˜„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๋จผ์ € ๋ ˆ์ด๋ธ”์ด ์ง€์ •๋œ ๋ฐ์ดํ„ฐ ์ง‘ํ•ฉ์„ ์ƒ์„ฑํ•œ ๋‹ค์Œ, ๊ฐ์ฒด ๊ฐ์ง€ ๋ชจํ˜•์„ ํ›ˆ๋ จํ•˜๊ธฐ ์œ„ํ•œ ํ›ˆ๋ จ ์ž‘์—…์„ ์ƒ์„ฑํ•˜๊ณ , ๋งˆ์ง€๋ง‰์œผ๋กœ Amazon SageMaker๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจํ˜•์„ ์ƒ์„ฑํ•˜๊ณ  ์—…๋ฐ์ดํŠธํ•ฉ๋‹ˆ๋‹ค

ย ย ๊ต์œก ๊ณผ์ • ๊ฐœ์š”

- ๋ฐ์ดํ„ฐ ๋‹ค์šด๋กœ๋“œ
- ๋ ˆ์ด๋ธ” ์ง€์ • ์ž‘์—… ์‹คํ–‰
- ๋ชจํ˜• ํ›ˆ๋ จ
- ๋ชจํ˜• ๋ฐฐํฌ
- ํ•˜์ดํผํŒŒ๋ผ๋ฏธํ„ฐ/์ž๋™ ๋ชจํ˜• ํŠœ๋‹
- ํ•˜์ดํผํŒŒ๋ผ๋ฏธํ„ฐ ์ตœ์ ํ™” ๊ฒฐ๊ณผ ๊ฒ€ํ† 
- ๊ธฐ๊ณ„ ํ•™์Šต ์ƒ์‚ฐ ๋ชจํ˜• ๋Œ€์ฒด

ย ์ˆ˜๊ฐ• ๋Œ€์ƒ

- Sagemaker SDK์™€ Python์„ ์‚ฌ์šฉํ•˜์—ฌ Amazon SageMaker๋กœ ๊ธฐ๊ณ„ ํ•™์Šต ํŒŒ์ดํ”„๋ผ์ธ์„ ์ƒ์„ฑํ•˜๋ ค๋Š” ๊ฐœ๋ฐœ์ž ๋ฐ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธํ‹ฐ์ŠคํŠธ
- Amazon SageMaker Ground Truth๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ ˆ์ด๋ธ”์ด ์ง€์ •๋œ ๋ฐ์ดํ„ฐ ์ง‘ํ•ฉ์„ ์ƒ์„ฑํ•˜๋ ค๋Š” ๊ฐœ๋ฐœ์ž ๋ฐ ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธํ‹ฐ์ŠคํŠธ

ย Introduction to the dataset

ย Introduction to Amazon SageMaker

ย Activity: Download the data and run a labeling job

ย Activity: Download and review labeling results

ย Introduction to object detection and single-shot detection algorithms

ย Activity: Train and deploy the model

ย Introduction to hyperparameter optimization (HPO)

ย Activity: Hyperparameter optimization