
## Dataset Card for Food-102 (Food101+Iraqi-rice-male )

Dataset Name: Food-102

Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in Food-102 have intentionally not been cleaned, allowing for some level of noise, such as intense colors and occasional mislabeled images. All images in the dataset have been rescaled to have a maximum side length of 512 pixels.

## Additional Information:
- Number of Categories: 102
- Total Images: 101,100
- Training Images per Category: 75825
- Test Images per Category: 25275
- Image Noise: The training images may contain some noise, including intense colors and occasional mislabeled images.
- Image Rescaling: All images in the dataset have been resized to have a maximum side length of 512 pixels.

## Note:
The newly added category "Iraqi rice male food" is not specifically mentioned as part of the Food-101 dataset. If you require further details or have any specific questions about the dataset, please let me know.
task_categories:image-classification size_categories:100K<n<1M language:en license:apache-2.0 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["image-classification"], "pretty_name": "food101+Iraqi-rice-meal", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "apple_pie", "1": "baby_back_ribs", "2": "baklava", "3": "beef_carpaccio", "4": "beef_tartare", "5": "beet_salad", "6": "beignets", "7": "bibimbap", "8": "bread_pudding", "9": "breakfast_burrito", "10": "bruschetta", "11": "caesar_salad", "12": "cannoli", "13": "caprese_salad", "14": "carrot_cake", "15": "ceviche", "16": "cheese_plate", "17": "cheesecake", "18": "chicken_curry", "19": "chicken_quesadilla", "20": "chicken_wings", "21": "chocolate_cake", "22": "chocolate_mousse", "23": "churros", "24": "clam_chowder", "25": "club_sandwich", "26": "crab_cakes", "27": "creme_brulee", "28": "croque_madame", "29": "cup_cakes", "30": "deviled_eggs", "31": "donuts", "32": "dumplings", "33": "edamame", "34": "eggs_benedict", "35": "escargots", "36": "falafel", "37": "filet_mignon", "38": "fish_and_chips", "39": "foie_gras", "40": "french_fries", "41": "french_onion_soup", "42": "french_toast", "43": "fried_calamari", "44": "fried_rice", "45": "frozen_yogurt", "46": "garlic_bread", "47": "gnocchi", "48": "greek_salad", "49": "grilled_cheese_sandwich", "50": "grilled_salmon", "51": "guacamole", "52": "gyoza", "53": "hamburger", "54": "hot_and_sour_soup", "55": "hot_dog", "56": "huevos_rancheros", "57": "hummus", "58": "ice_cream", "59": "lasagna", "60": "lobster_bisque", "61": "lobster_roll_sandwich", "62": "macaroni_and_cheese", "63": "macarons", "64": "miso_soup", "65": "mussels", "66": "nachos", "67": "omelette", "68": "onion_rings", "69": "oysters", "70": "pad_thai", "71": "paella", "72": "pancakes", "73": "panna_cotta", "74": "peking_duck", "75": "pho", "76": "pizza", "77": "pork_chop", "78": "poutine", "79": "prime_rib", "80": "pulled_pork_sandwich", "81": "ramen", "82": "ravioli", "83": "red_velvet_cake", "84": "rice_meal", "85": "risotto", "86": "samosa", "87": "sashimi", "88": "scallops", "89": "seaweed_salad", "90": "shrimp_and_grits", "91": "spaghetti_bolognese", "92": "spaghetti_carbonara", "93": "spring_rolls", "94": "steak", "95": "strawberry_shortcake", "96": "sushi", "97": "tacos", "98": "takoyaki", "99": "tiramisu", "100": "tuna_tartare", "101": "waffles"}}}}], "splits": [{"name": "train", "num_bytes": 4881528176.3, "num_examples": 101100}], "download_size": 5108984474, "dataset_size": 4881528176.3}, "extra_gated_prompt": "You agree to not attempt to determine the identity of individuals in this dataset", "extra_gated_fields": {"Name": "text", "Country": "text", "Email": "text", "I agree to use this model for non-commercial use ONLY": "checkbox"}}
TAGS
#task_categories-image-classification #size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us 


## Dataset Card for Food-102 (Food101+Iraqi-rice-male )

Dataset Name: Food-102

Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in Food-102 have intentionally not been cleaned, allowing for some level of noise, such as intense colors and occasional mislabeled images. All images in the dataset have been rescaled to have a maximum side length of 512 pixels.

## Additional Information:
- Number of Categories: 102
- Total Images: 101,100
- Training Images per Category: 75825
- Test Images per Category: 25275
- Image Noise: The training images may contain some noise, including intense colors and occasional mislabeled images.
- Image Rescaling: All images in the dataset have been resized to have a maximum side length of 512 pixels.

## Note:
The newly added category "Iraqi rice male food" is not specifically mentioned as part of the Food-101 dataset. If you require further details or have any specific questions about the dataset, please let me know.
## Dataset Card for Food-102 (Food101+Iraqi-rice-male )

Dataset Name: Food-102

Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in Food-102 have intentionally not been cleaned, allowing for some level of noise, such as intense colors and occasional mislabeled images. All images in the dataset have been rescaled to have a maximum side length of 512 pixels. ## Additional Information:
- Number of Categories: 102
- Total Images: 101,100
- Training Images per Category: 75825
- Test Images per Category: 25275
- Image Noise: The training images may contain some noise, including intense colors and occasional mislabeled images.
- Image Rescaling: All images in the dataset have been resized to have a maximum side length of 512 pixels. ## Note:
The newly added category "Iraqi rice male food" is not specifically mentioned as part of the Food-101 dataset. If you require further details or have any specific questions about the dataset, please let me know.
TAGS
#task_categories-image-classification #size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us 
 ## Dataset Card for Food-102 (Food101+Iraqi-rice-male )

Dataset Name: Food-102

Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in Food-102 have intentionally not been cleaned, allowing for some level of noise, such as intense colors and occasional mislabeled images. All images in the dataset have been rescaled to have a maximum side length of 512 pixels. ## Additional Information:
- Number of Categories: 102
- Total Images: 101,100
- Training Images per Category: 75825
- Test Images per Category: 25275
- Image Noise: The training images may contain some noise, including intense colors and occasional mislabeled images.
- Image Rescaling: All images in the dataset have been resized to have a maximum side length of 512 pixels. ## Note:
The newly added category "Iraqi rice male food" is not specifically mentioned as part of the Food-101 dataset. If you require further details or have any specific questions about the dataset, please let me know.
passage: TAGS
#task_categories-image-classification #size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us 
## Dataset Card for Food-102 (Food101+Iraqi-rice-male )

Dataset Name: Food-102

Dataset Summary:
Food-102 is an updated version of the Food-101 dataset, now expanded to include 102 food categories. It consists of a total of 102,000 images, with 750 training images and 250 manually reviewed test images provided for each category. The dataset aims to enable food classification tasks and provide a diverse range of food images for research and development purposes. The training images in Food-102 have intentionally not been cleaned, allowing for some level of noise, such as intense colors and occasional mislabeled images. All images in the dataset have been rescaled to have a maximum side length of 512 pixels.## Additional Information:
- Number of Categories: 102
- Total Images: 101,100
- Training Images per Category: 75825
- Test Images per Category: 25275
- Image Noise: The training images may contain some noise, including intense colors and occasional mislabeled images.
- Image Rescaling: All images in the dataset have been resized to have a maximum side length of 512 pixels.## Note:
The newly added category "Iraqi rice male food" is not specifically mentioned as part of the Food-101 dataset. If you require further details or have any specific questions about the dataset, please let me know.