datasets
food-recognition-benchmark-starter-kit
datasets | food-recognition-benchmark-starter-kit | |
---|---|---|
4 | 3 | |
2,299 | 66 | |
0.4% | - | |
4.7 | 0.0 | |
3 months ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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datasets
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Here's a live demo with a simple React frontend. It's searching against an S3 bucket containing Unsplash's open source dataset of 25,000 images, plus a few of my own.
- Where can I get lots of clean open source data?
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Let's create a face dataset with unsplash data
Alright so we are going to use the test dataset that unsplash provides but everything works with the full dataset if you are able to access that one, you can get more information in the github repo.
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Movie Maker
This project uses GithubActions to assemble a random movie clip every hour or so. Each of the frames is an image taken from the Unsplash Dataset.
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]
What are some alternatives?
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data - Data and code behind the articles and graphics at FiveThirtyEight
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Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
natural-language-image-search - Search photos on Unsplash using natural language
quilt - Quilt is a data mesh for connecting people with actionable data
GSOC2017
rihal-challenges - This repository is used to house Rihal's challenges for hiring.
mnist1d - A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
criminal-law - You can't commit a crime. You can try if you want.