food-recognition-benchmark-starter-kit
SKAB
food-recognition-benchmark-starter-kit | SKAB | |
---|---|---|
3 | 9 | |
66 | 296 | |
- | - | |
0.0 | 4.8 | |
8 months ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 only |
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food-recognition-benchmark-starter-kit
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54392 real-world Food Images with 100,256 annotations
âšī¸ 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 đ). đŧī¸ Dataset preview: https://i.imgur.com/BjH4ypx.png đ Download and know more about the dataset: https://www.aicrowd.com/challenges/food-recognition-benchmark-2022#datasets đ¤ Pre-trained MMdetection & Detectron2 models on this dataset: https://github.com/AIcrowd/food-recognition-benchmark-starter-kit đ Open Benchmark (if you are interested in the ML part): https://www.aicrowd.com/challenges/food-recognition-benchmark-2022/leaderboards
đ¤ 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]
SKAB
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