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54392 real-world Food Images with 100,256 annotations
1 project | /r/deeplearning | 16 Mar 2022

ℹ️ What's unique? These are real images of real food - not a biased data set downloaded from food websites. The images were collected by participants in the foodandyou_ch study (and released with their consent 🙏). 🖼️ Dataset preview: https://i.imgur.com/BjH4ypx.png 😋 Download and know more about the dataset: https://www.aicrowd.com/challenges/food-recognition-benchmark-2022#datasets 🤖 Pre-trained MMdetection & Detectron2 models on this dataset: https://github.com/AIcrowd/food-recognition-benchmark-starter-kit 🏆 Open Benchmark (if you are interested in the ML part): https://www.aicrowd.com/challenges/food-recognition-benchmark-2022/leaderboards

1 project | /r/datasets | 16 Mar 2022

🤖 Pre-trained MMdetection & Detectron2 models on this dataset: https://github.com/AIcrowd/food-recognition-benchmark-starter-kit
Dataset containing 54392 real-world Food Images [and computer vision benchmark]
1 project | news.ycombinator.com | 16 Mar 2022
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AIcrowd/food-recognition-benchmark-starter-kit is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of food-recognition-benchmark-starter-kit is Jupyter Notebook.