# FridgeIT Custom Dataset
This is a database collected manually using an iPhone 12 Pro Max cell phone.
The collected images contain objects from the following five classes:<br>
```
Butter, cottage cheese, milk, cream, mustard
```

Our dataset contains 2094 images in the training set and 526 images in the validation set.
We expect the directory structure to be the following:
```
path/to/coco/
├ annotations/  # JSON annotations
│  ├ annotations/custom_train.json
│  └ annotations/custom_val.json
├ train2017/    # training images
└ val2017/      # validation images
```

## Installation
1. Create the directory where you want to clone the finetuned_detr repository.
2. Open the terminal and navigate to the directory you just created or just open the terminal from this directory.
3. Run the following command to install Git Large File Storage (LFS) for handling large files:<br>
    ```
   git lfs install
    ```
5. Clone the Hugging Face repository by running the following command:<br>
    ```
   git clone https://huggingface.co/datasets/coralavital/fridgeit_dataset
    ```


region:us
{}
TAGS
#region-us 

# FridgeIT Custom Dataset
This is a database collected manually using an iPhone 12 Pro Max cell phone.
The collected images contain objects from the following five classes:<br>


Our dataset contains 2094 images in the training set and 526 images in the validation set.
We expect the directory structure to be the following:


## Installation
1. Create the directory where you want to clone the finetuned_detr repository.
2. Open the terminal and navigate to the directory you just created or just open the terminal from this directory.
3. Run the following command to install Git Large File Storage (LFS) for handling large files:<br>
    
5. Clone the Hugging Face repository by running the following command:<br>
    


# FridgeIT Custom Dataset
This is a database collected manually using an iPhone 12 Pro Max cell phone.
The collected images contain objects from the following five classes:<br>


Our dataset contains 2094 images in the training set and 526 images in the validation set.
We expect the directory structure to be the following: ## Installation
1. Create the directory where you want to clone the finetuned_detr repository.
2. Open the terminal and navigate to the directory you just created or just open the terminal from this directory.
3. Run the following command to install Git Large File Storage (LFS) for handling large files:<br>
    
5. Clone the Hugging Face repository by running the following command:<br>
TAGS
#region-us 
 # FridgeIT Custom Dataset
This is a database collected manually using an iPhone 12 Pro Max cell phone.
The collected images contain objects from the following five classes:<br>


Our dataset contains 2094 images in the training set and 526 images in the validation set.
We expect the directory structure to be the following: ## Installation
1. Create the directory where you want to clone the finetuned_detr repository.
2. Open the terminal and navigate to the directory you just created or just open the terminal from this directory.
3. Run the following command to install Git Large File Storage (LFS) for handling large files:<br>
    
5. Clone the Hugging Face repository by running the following command:<br>
passage: TAGS
#region-us 
# FridgeIT Custom Dataset
This is a database collected manually using an iPhone 12 Pro Max cell phone.
The collected images contain objects from the following five classes:<br>


Our dataset contains 2094 images in the training set and 526 images in the validation set.
We expect the directory structure to be the following:## Installation
1. Create the directory where you want to clone the finetuned_detr repository.
2. Open the terminal and navigate to the directory you just created or just open the terminal from this directory.
3. Run the following command to install Git Large File Storage (LFS) for handling large files:<br>
    
5. Clone the Hugging Face repository by running the following command:<br>