New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!
\nNew to Kaggle? Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks. Publish and share your models on Kaggle Models!
\nLooking for a team? Express your interest in joining a team through our Team Up feature.
\nRemember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.
\nIn addition to this competition forum, you can continue the discussion in our official Kaggle Discord Server here:
\nThe Discord is a great place to ask getting started questions, chat about the nuances of this competition, and connect with potential team mates. Learn more about Discord at our announcement here. Here are a few things to keep in mind though:
\n1. Discord Competition Channels are 'Public' - Don't Share Private Information
\nDiscord channels for specific competitions are considered 'public' spaces where you are allowed to talk about competition details. Please remember that private sharing of competition code or data outside of your team is, as always, not permitted. Code sharing must always be done publicly through the Kaggle forums/notebooks.
\n2. Discord Competition Channels are Not Monitored by Staff - Keep Important Information on the Kaggle Forums
\nKaggle Staff and Hosts running competitions will not monitor Discord or be available to answer questions in Discord. This is intended to be a more casual space to discuss competitions and help each other. Please keep important questions, insights, writeups, and other valuable conversation on the Kaggle forums.
\nHappy modeling!
", "messages": [ { "id": "3305920", "postDate": "10/23/2025 18:11:00", "content": "New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!
\nNew to Kaggle? Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks. Publish and share your models on Kaggle Models!
\nLooking for a team? Express your interest in joining a team through our Team Up feature.
\nRemember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.
\nIn addition to this competition forum, you can continue the discussion in our official Kaggle Discord Server here:
\nThe Discord is a great place to ask getting started questions, chat about the nuances of this competition, and connect with potential team mates. Learn more about Discord at our announcement here. Here are a few things to keep in mind though:
\n1. Discord Competition Channels are 'Public' - Don't Share Private Information
\nDiscord channels for specific competitions are considered 'public' spaces where you are allowed to talk about competition details. Please remember that private sharing of competition code or data outside of your team is, as always, not permitted. Code sharing must always be done publicly through the Kaggle forums/notebooks.
\n2. Discord Competition Channels are Not Monitored by Staff - Keep Important Information on the Kaggle Forums
\nKaggle Staff and Hosts running competitions will not monitor Discord or be available to answer questions in Discord. This is intended to be a more casual space to discuss competitions and help each other. Please keep important questions, insights, writeups, and other valuable conversation on the Kaggle forums.
\nHappy modeling!
", "rawMarkdown": "### Welcome! \n### Information for newbies\n**New to machine learning and data science?** No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!\n\n**New to Kaggle?** Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&v=GJBOMWpLpTQ). Publish and share your [models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\n**Looking for a team?** Express your interest in joining a team through our [Team Up](https://www.kaggle.com/discussions/product-feedback/341195) feature.\n\n**Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.\n\n### Competition's Official Discord\nIn addition to this competition forum, you can continue the discussion in our official Kaggle Discord Server here:\n# [discord.gg/kaggle](http://discord.gg/kaggle)\n \nThe Discord is a great place to ask getting started questions, chat about the nuances of this competition, and connect with potential team mates. Learn more about Discord at our [announcement here](https://www.kaggle.com/discussions/general/429933). Here are a few things to keep in mind though:\n\n**1. Discord Competition Channels are 'Public' - Don't Share Private Information**\n\nDiscord channels for specific competitions are considered 'public' spaces where you are allowed to talk about competition details. Please remember that private sharing of competition code or data outside of your team is, as always, not permitted. Code sharing must always be done publicly through the Kaggle forums/notebooks.\n\n**2. Discord Competition Channels are Not Monitored by Staff - Keep Important Information on the Kaggle Forums**\n\nKaggle Staff and Hosts running competitions will not monitor Discord or be available to answer questions in Discord. This is intended to be a more casual space to discuss competitions and help each other. Please keep important questions, insights, writeups, and other valuable conversation on the Kaggle forums. \n\nHappy modeling!", "votes": null }, { "id": "3305972", "postDate": "10/23/2025 20:04:11", "content": "Hi, how to submit an all authentic submission?
\nThe test images are in a special directory?
\nThanks
You can submit a notebook for evaluation. During scoring, the notebook will generate predictions on the entire test_images folder. Once that’s done, your submission will be complete.
\nHere is an example:
\nhttps://www.kaggle.com/code/isaacmenard/submission-scientific-image-forgery-detection
Hello, I couldn't install the dependency packages when submitting the code
\n0.2s 1 /bin/bash: /kaggle/input/pm-96372341-at-10-27-2025-02-31-59/install_requirements.sh: No such file or directory
\n7.9s 2 0.00s - Debugger warning: It seems that frozen modules are being used, which may
\n7.9s 3 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
\n7.9s 4 0.00s - to python to disable frozen modules.
\n7.9s 5 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
\n8.5s 6 0.00s - Debugger warning: It seems that frozen modules are being used, which may
\n8.5s 7 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
\n8.5s 8 0.00s - to python to disable frozen modules.
\n8.5s 9 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
It seems you are using code from another competition. If you execute the default code from this competition, you will get a list of the available files.
\nimport \n dirname, _, filenames .walk():\n filename filenames:\n (..join(dirname, filename))\n\n# expected : \n# /kaggle//recodai-luc-scientific-image-forgery-detection/sample_submission.csv\n# /kaggle//recodai-luc-scientific-image-forgery-detection/test_images/*.png\n# /kaggle//recodai-luc-scientific-image-forgery-detection/train_images/authentic/*.png\n# /kaggle//recodai-luc-scientific-image-forgery-detection/train_images/forged/*.png\n# /kaggle//recodai-luc-scientific-image-forgery-detection/train_masks/*.npy\nAlso note that there is no install_requirements.sh, so you don't need to change the default notebook dependencies. I made an example here of how to use the data: https://www.kaggle.com/code/isaacmenard/scientific-image-forgery-data-analysis
\nThere is also the code from Jirka BOROVEC that explores the data from other relevant points: https://www.kaggle.com/code/jirkaborovec/forgery-detection-eda-visual-annotations
There is only one sample in sample_submite.csv. May I ask if the test set is not ready yet?
", "rawMarkdown": "There is only one sample in sample_submite.csv. May I ask if the test set is not ready yet?", "votes": null } ], "comments": [ { "id": 3305972, "author_name": "pierretisseur", "author_url": "", "post_date": "10/23/2025 20:04:11", "content": "Hi, how to submit an all authentic submission?
\nThe test images are in a special directory?
\nThanks
You can submit a notebook for evaluation. During scoring, the notebook will generate predictions on the entire test_images folder. Once that’s done, your submission will be complete.
\nHere is an example:
\nhttps://www.kaggle.com/code/isaacmenard/submission-scientific-image-forgery-detection
Hello, I couldn't install the dependency packages when submitting the code
\n0.2s 1 /bin/bash: /kaggle/input/pm-96372341-at-10-27-2025-02-31-59/install_requirements.sh: No such file or directory
\n7.9s 2 0.00s - Debugger warning: It seems that frozen modules are being used, which may
\n7.9s 3 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
\n7.9s 4 0.00s - to python to disable frozen modules.
\n7.9s 5 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
\n8.5s 6 0.00s - Debugger warning: It seems that frozen modules are being used, which may
\n8.5s 7 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
\n8.5s 8 0.00s - to python to disable frozen modules.
\n8.5s 9 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
It seems you are using code from another competition. If you execute the default code from this competition, you will get a list of the available files.
\nimport \n dirname, _, filenames .walk():\n filename filenames:\n (..join(dirname, filename))\n\n# expected : \n# /kaggle//recodai-luc-scientific-image-forgery-detection/sample_submission.csv\n# /kaggle//recodai-luc-scientific-image-forgery-detection/test_images/*.png\n# /kaggle//recodai-luc-scientific-image-forgery-detection/train_images/authentic/*.png\n# /kaggle//recodai-luc-scientific-image-forgery-detection/train_images/forged/*.png\n# /kaggle//recodai-luc-scientific-image-forgery-detection/train_masks/*.npy\nAlso note that there is no install_requirements.sh, so you don't need to change the default notebook dependencies. I made an example here of how to use the data: https://www.kaggle.com/code/isaacmenard/scientific-image-forgery-data-analysis
\nThere is also the code from Jirka BOROVEC that explores the data from other relevant points: https://www.kaggle.com/code/jirkaborovec/forgery-detection-eda-visual-annotations
There is only one sample in sample_submite.csv. May I ask if the test set is not ready yet?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3305920": "### Welcome! \n### Information for newbies\n**New to machine learning and data science?** No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!\n\n**New to Kaggle?** Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&v=GJBOMWpLpTQ). Publish and share your [models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\n**Looking for a team?** Express your interest in joining a team through our [Team Up](https://www.kaggle.com/discussions/product-feedback/341195) feature.\n\n**Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.\n\n### Competition's Official Discord\nIn addition to this competition forum, you can continue the discussion in our official Kaggle Discord Server here:\n# [discord.gg/kaggle](http://discord.gg/kaggle)\n \nThe Discord is a great place to ask getting started questions, chat about the nuances of this competition, and connect with potential team mates. Learn more about Discord at our [announcement here](https://www.kaggle.com/discussions/general/429933). Here are a few things to keep in mind though:\n\n**1. Discord Competition Channels are 'Public' - Don't Share Private Information**\n\nDiscord channels for specific competitions are considered 'public' spaces where you are allowed to talk about competition details. Please remember that private sharing of competition code or data outside of your team is, as always, not permitted. Code sharing must always be done publicly through the Kaggle forums/notebooks.\n\n**2. Discord Competition Channels are Not Monitored by Staff - Keep Important Information on the Kaggle Forums**\n\nKaggle Staff and Hosts running competitions will not monitor Discord or be available to answer questions in Discord. This is intended to be a more casual space to discuss competitions and help each other. Please keep important questions, insights, writeups, and other valuable conversation on the Kaggle forums. \n\nHappy modeling!", "3305972": "Hi, how to submit an all authentic submission?\nThe test images are in a special directory?\nThanks", "3306377": "You can submit a notebook for evaluation. During scoring, the notebook will generate predictions on the entire **test_images** folder. Once that’s done, your submission will be complete.\n\nHere is an example: \nhttps://www.kaggle.com/code/isaacmenard/submission-scientific-image-forgery-detection", "3307447": "Hello, I couldn't install the dependency packages when submitting the code\n\n0.2s\t1\t/bin/bash: /kaggle/input/pm-96372341-at-10-27-2025-02-31-59/install_requirements.sh: No such file or directory\n7.9s\t2\t0.00s - Debugger warning: It seems that frozen modules are being used, which may\n7.9s\t3\t0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n7.9s\t4\t0.00s - to python to disable frozen modules.\n7.9s\t5\t0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n8.5s\t6\t0.00s - Debugger warning: It seems that frozen modules are being used, which may\n8.5s\t7\t0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n8.5s\t8\t0.00s - to python to disable frozen modules.\n8.5s\t9\t0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.", "3307525": "It seems you are using code from another competition. If you execute the default code from this competition, you will get a list of the available files.\n\n```\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# expected output: \n# /kaggle/input/recodai-luc-scientific-image-forgery-detection/sample_submission.csv\n# /kaggle/input/recodai-luc-scientific-image-forgery-detection/test_images/*.png\n# /kaggle/input/recodai-luc-scientific-image-forgery-detection/train_images/authentic/*.png\n# /kaggle/input/recodai-luc-scientific-image-forgery-detection/train_images/forged/*.png\n# /kaggle/input/recodai-luc-scientific-image-forgery-detection/train_masks/*.npy\n```\n\nAlso note that there is no `install_requirements.sh`, so you don't need to change the default notebook dependencies. I made an example here of how to use the data: https://www.kaggle.com/code/isaacmenard/scientific-image-forgery-data-analysis\nThere is also the code from **Jirka BOROVEC** that explores the data from other relevant points: https://www.kaggle.com/code/jirkaborovec/forgery-detection-eda-visual-annotations", "3307867": "There is only one sample in sample_submite.csv. May I ask if the test set is not ready yet?" }, "source": "meta" }