car-damage-detection
food-recognition-benchmark-starter-kit
| car-damage-detection | food-recognition-benchmark-starter-kit | |
|---|---|---|
| 1 | 3 | |
| 19 | 66 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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car-damage-detection
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Implementing Detectron2 for car damage detection
Link to project : https://github.com/MrGrayCode/car-damage-detection
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?
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
datasets - đ 5,400,000+ Unsplash images made available for research and machine learning
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
covid-chestxray-dataset - We are building an open database of COVID-19 cases with chest X-ray or CT images.
fastbook - The fastai book, published as Jupyter Notebooks
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
fastai - The fastai deep learning library
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
GDR-Net - GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
shap - A game theoretic approach to explain the output of any machine learning model.