# Dataset Information

## Keywords

Hebrew, handwritten, letters

## Description
HDD_v0 consists of images of isolated Hebrew characters together with training and test sets subdivision. 
The images were collected from hand-filled forms.

For more details, please refer to [1].

When using this dataset in research work, please cite [1].


[1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020.


## Technical Details
The dataset is divided into TRAIN and TEST set (folders), each one containing 27 subfolders.

Each subfolder contains the images of a letter from the alphabet (one subfolder for each letter of the alphabet).

Train set contains 3965 samples, test set contains 1134 samples.
task_categories:image-classification size_categories:1K<n<10K language:he license:cc-by-3.0 region:us
{"language": ["he"], "license": "cc-by-3.0", "size_categories": ["1K<n<10K"], "task_categories": ["image-classification"], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": ",", "1": "\u05d0", "2": "\u05d1", "3": "\u05d2", "4": "\u05d3", "5": "\u05d4", "6": "\u05d5", "7": "\u05d6", "8": "\u05d7", "9": "\u05d8", "10": "\u05d9", "11": "\u05da", "12": "\u05db", "13": "\u05dc", "14": "\u05dd", "15": "\u05de", "16": "\u05df", "17": "\u05e0", "18": "\u05e1", "19": "\u05e2", "20": "\u05e3", "21": "\u05e4", "22": "\u05e5", "23": "\u05e6", "24": "\u05e7", "25": "\u05e8", "26": "\u05e9", "27": "\u05ea"}}}}], "splits": [{"name": "train", "num_bytes": 29325896.28, "num_examples": 3965}, {"name": "test", "num_bytes": 9103495.104, "num_examples": 1128}], "download_size": 42332499, "dataset_size": 38429391.384}}
TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-Hebrew #license-cc-by-3.0 #region-us 

# Dataset Information

## Keywords

Hebrew, handwritten, letters

## Description
HDD_v0 consists of images of isolated Hebrew characters together with training and test sets subdivision. 
The images were collected from hand-filled forms.

For more details, please refer to [1].

When using this dataset in research work, please cite [1].


[1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020.


## Technical Details
The dataset is divided into TRAIN and TEST set (folders), each one containing 27 subfolders.

Each subfolder contains the images of a letter from the alphabet (one subfolder for each letter of the alphabet).

Train set contains 3965 samples, test set contains 1134 samples.
# Dataset Information ## Keywords

Hebrew, handwritten, letters ## Description
HDD_v0 consists of images of isolated Hebrew characters together with training and test sets subdivision. 
The images were collected from hand-filled forms.

For more details, please refer to [1].

When using this dataset in research work, please cite [1].


[1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020. ## Technical Details
The dataset is divided into TRAIN and TEST set (folders), each one containing 27 subfolders.

Each subfolder contains the images of a letter from the alphabet (one subfolder for each letter of the alphabet).

Train set contains 3965 samples, test set contains 1134 samples.
TAGS
#task_categories-image-classification #size_categories-1K<n<10K #language-Hebrew #license-cc-by-3.0 #region-us 
 # Dataset Information ## Keywords

Hebrew, handwritten, letters ## Description
HDD_v0 consists of images of isolated Hebrew characters together with training and test sets subdivision. 
The images were collected from hand-filled forms.

For more details, please refer to [1].

When using this dataset in research work, please cite [1].


[1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020. ## Technical Details
The dataset is divided into TRAIN and TEST set (folders), each one containing 27 subfolders.

Each subfolder contains the images of a letter from the alphabet (one subfolder for each letter of the alphabet).

Train set contains 3965 samples, test set contains 1134 samples.