Demo Training Data Project - Revision history

Rudolf@tygron.nl at 09:35, 17 October 2025

2025-10-17T09:35:38Z

← Older revision		Revision as of 09:35, 17 October 2025
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	~~{{stub\|todo=~~
	* "Training data" is too broad and will lead to confusion. Ensure "AI" or "Neural network" or similar is in the project name. (Yes, this will mean remaking videos and adjusting references).
	* In article end, external references should be in external header, not the see-also's, which are internal.
	}}

	{{demo project summary		{{demo project summary
	\| title=Demo Training Data		\| title=Demo Training Data

Rudolf@tygron.nl at 09:35, 17 October 2025

2025-10-17T09:35:12Z

← Older revision		Revision as of 09:35, 17 October 2025
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	==Project's content==		==Project's content==
	Demo Train Dataset is a project that contains shapes of foliage, drawn as [[area]]s on top of a [[Satellite Overlay]]. These areas, in combination with satellite images, can be exported as a dataset for training a [https://github.com/matterport/Mask_RCNN Mask R-CNN model]. Such a model can then be applied to a different project location to detect foliage. A specific use-case is detecting foliage on private property, such as gardens and private yards.		Demo Train Dataset is a project that contains shapes of foliage, drawn as [[area]]s on top of a [[Satellite Overlay]]. These areas, in combination with satellite images, can be exported as a dataset for training a [https://github.com/matterport/Mask_RCNN Mask R-CNN model]. Such a model can then be applied to a different project location to detect foliage. A specific use-case is detecting foliage on private property, such as gardens and private yards.
	Each area is assigned the attribute '''FOLIAGE'''. The project also contains two large areas, named Test Limit area and Train limit Area, each with a unique TEST_LIMIT_AREA or TRAIN_LIMIT_AREA Attribute. These areas will be used to split the Foliage areas into a group of test and train data.		Each area is assigned the attribute '''FOLIAGE'''. The project also contains two large areas, named Test Limit area and Train limit Area, each with a unique '''TEST_LIMIT_AREA''' or '''TRAIN_LIMIT_AREA''' Attribute. These areas will be used to split the Foliage areas into a group of test and train data.
	<gallery>		<gallery>
	File:Demo_train_dataset_foliage_areas.png\|Individual foliage areas		File:Demo_train_dataset_foliage_areas.png\|Individual foliage areas

Rudolf@tygron.nl at 09:34, 17 October 2025

2025-10-17T09:34:43Z

← Older revision		Revision as of 09:34, 17 October 2025
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	{{ref\|aisuite		{{ref\|aisuite
	\|name=Tygron AI Suite		\|name=Tygron AI Suite
	~~\|author=~~
	~~\|source=~~
	~~\|page=~~
	\|link=https://github.com/Tygron/tygron-ai-suite		\|link=https://github.com/Tygron/tygron-ai-suite
	\|lastvisit=2025-10-13		\|lastvisit=2025-10-13
			\|author= \|source= \|page=
	}}		}}
	{{ref\|Miniforge		{{ref\|Miniforge
	\|name=Miniforge		\|name=Miniforge
	~~\|author=~~
	~~\|source=~~
	~~\|page=~~
	\|link=https://conda-forge.org/download/		\|link=https://conda-forge.org/download/
	\|lastvisit=2025-10-13		\|lastvisit=2025-10-13
			\|author= \|source= \|page=
	}}		}}
	{{ref\|NotebookExample		{{ref\|NotebookExample
	\|name=Example Config Jupyter Notebook of the Tygron AI Suite		\|name=Example Config Jupyter Notebook of the Tygron AI Suite
	~~\|author=~~
	~~\|source=~~
	~~\|page=~~
	\|link=https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb		\|link=https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb
	\|lastvisit=2025-10-13		\|lastvisit=2025-10-13
			\|author= \|source= \|page=
	}}		}}
	{{ref\|ymlfile		{{ref\|ymlfile
	\|name=Conda environment YMLfile		\|name=Conda environment YMLfile
	~~\|author=~~
	~~\|source=~~
	~~\|page=~~
	\|link=https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/tygronai.yml		\|link=https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/tygronai.yml
	\|lastvisit=2025-10-13		\|lastvisit=2025-10-13
			\|author= \|source= \|page=
	}}		}}
	</references>		</references>
	}}		}}

Rudolf@tygron.nl: /* Inference Overlay considerations */

2025-10-17T09:29:10Z

Inference Overlay considerations

← Older revision		Revision as of 09:29, 17 October 2025
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	\|lastvisit=2025-10-13		\|lastvisit=2025-10-13
	}}		}}
	{{ref\|~~miniforge~~		{{ref\|Miniforge
	\|name=Miniforge		\|name=Miniforge
	\|author=		\|author=

Rudolf@tygron.nl: /* Inference Overlay considerations */

2025-10-17T09:28:50Z

Inference Overlay considerations

@@ Line 119: / Line 119: @@
 * [[How to train your own AI model for an Inference Overlay]]
 * [[How to detect foliage using an Inference Overlay]]
 |references=<references>
 {{ref|aisuite
-|name=Tygron AI Suite
+  |name=Tygron AI Suite
-|author=
+  |author=
-|source=
+  |source=
-|page=
+  |page=
-|link=https://github.com/Tygron/tygron-ai-suite
+  |link=https://github.com/Tygron/tygron-ai-suite
-|lastvisit=2025-10-13
+  |lastvisit=2025-10-13
 }}
 </references>
 }}

Rudolf@tygron.nl at 09:26, 17 October 2025

2025-10-17T09:26:27Z

← Older revision		Revision as of 09:26, 17 October 2025
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	* [[How to train your own AI model for an Inference Overlay]]		* [[How to train your own AI model for an Inference Overlay]]
	* [[How to detect foliage using an Inference Overlay]]		* [[How to detect foliage using an Inference Overlay]]
			{{ref\|aisuite}}
	\|references=<references>		\|references=<references>
	<ref name=~~"aisuite">~~Tygron AI Suite ~~∙ found at:~~ https://github.com/Tygron/tygron-ai-suite ~~(last visited:~~ 2025-10-13~~)</ref>~~		{{ref\|aisuite
	<ref name="Miniforge">Miniforge ∙ found at: https://conda-forge.org/download/ (last visited: 2025-10-13)</ref>		\|name=Tygron AI Suite
	<ref name="NotebookExample">Example Config Jupyter Notebook of the Tygron AI Suite ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb (last visited: 2025-10-13)</ref>		\|author=
	<ref name="ymlfile">Conda environment YMLfile ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/tygronai.yml (last visited: 2025-10-13)</ref>		\|source=
			\|page=
			\|link=https://github.com/Tygron/tygron-ai-suite
			\|lastvisit=2025-10-13
			}}
			<ref name="ref-Miniforge">Miniforge ∙ found at: https://conda-forge.org/download/ (last visited: 2025-10-13)</ref>
			<ref name="ref-NotebookExample">Example Config Jupyter Notebook of the Tygron AI Suite ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb (last visited: 2025-10-13)</ref>
			<ref name="ref-ymlfile">Conda environment YMLfile ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/tygronai.yml (last visited: 2025-10-13)</ref>
	</references>		</references>
	}}		}}

Frank@tygron.nl: /* Inference Overlay considerations */

2025-10-17T07:52:46Z

Inference Overlay considerations

← Older revision		Revision as of 07:52, 17 October 2025
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	\|references=<references>		\|references=<references>
	<ref name="aisuite">Tygron AI Suite ∙ found at: https://github.com/Tygron/tygron-ai-suite (last visited: 2025-10-13)</ref>		<ref name="aisuite">Tygron AI Suite ∙ found at: https://github.com/Tygron/tygron-ai-suite (last visited: 2025-10-13)</ref>
	~~<ref name="MASK_RCNN">Mask R-CNN ∙ found at: https://pytorch.org/vision/main/models/mask_rcnn.html (last visited: 2025-10-13)</ref>~~
	<ref name="Miniforge">Miniforge ∙ found at: https://conda-forge.org/download/ (last visited: 2025-10-13)</ref>		<ref name="Miniforge">Miniforge ∙ found at: https://conda-forge.org/download/ (last visited: 2025-10-13)</ref>
	<ref name="NotebookExample">Example Config Jupyter Notebook of the Tygron AI Suite ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb (last visited: 2025-10-13)</ref>		<ref name="NotebookExample">Example Config Jupyter Notebook of the Tygron AI Suite ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb (last visited: 2025-10-13)</ref>

Frank@tygron.nl: /* Inference Overlay considerations */

2025-10-17T07:52:34Z

Inference Overlay considerations

← Older revision		Revision as of 07:52, 17 October 2025
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	* [[How to train your own AI model for an Inference Overlay]]		* [[How to train your own AI model for an Inference Overlay]]
	* [[How to detect foliage using an Inference Overlay]]		* [[How to detect foliage using an Inference Overlay]]
			\|references=<references>
			<ref name="aisuite">Tygron AI Suite ∙ found at: https://github.com/Tygron/tygron-ai-suite (last visited: 2025-10-13)</ref>
			<ref name="MASK_RCNN">Mask R-CNN ∙ found at: https://pytorch.org/vision/main/models/mask_rcnn.html (last visited: 2025-10-13)</ref>
			<ref name="Miniforge">Miniforge ∙ found at: https://conda-forge.org/download/ (last visited: 2025-10-13)</ref>
			<ref name="NotebookExample">Example Config Jupyter Notebook of the Tygron AI Suite ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/example_config.ipynb (last visited: 2025-10-13)</ref>
			<ref name="ymlfile">Conda environment YMLfile ∙ found at: https://raw.githubusercontent.com/Tygron/tygron-ai-suite/refs/heads/main/tygronai.yml (last visited: 2025-10-13)</ref>
			</references>
	}}		}}

Maxim@tygron.com at 06:41, 16 October 2025

2025-10-16T06:41:21Z

← Older revision		Revision as of 06:41, 16 October 2025
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	{{article end		{{article end
	\|seealso=		\|seealso=
			* [[AI Suite]]
	* [[Inference Overlay]]		* [[Inference Overlay]]
	* [[Neural Network]]		* [[Neural Network]]
	* [[ONNX]]		* [[ONNX]]
	* [[PyTorch]]		* [[PyTorch]]
	* [https://www.anaconda.com/products/navigator Anaconda Navigator]
	\|howtos=		\|howtos=
	* [[How to export AI Training Data]]		* [[How to export AI Training Data]]

Frank@tygron.nl: /* AI Training Data */

2025-10-14T11:42:13Z

AI Training Data

← Older revision		Revision as of 11:42, 14 October 2025
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	</gallery>		</gallery>

	The {{software}} allows users to export datasets. The Demo Train Dataset Project is set up to contain ~~two separate sets~~ of [[Area]]s to export; One ~~set of Areas~~ with the [[attribute~~]] TRAIN_FOLIAGE and one~~ with the attribute ~~TEST_FOLIAGE~~. Each ~~set~~ can be exported with an [[Overlay]]. Since both sets are drawn based on a [[Satellite Overlay]] named ''Original Satellite'', we will use that Overlay.		The {{software}} allows users to export datasets. The Demo Train Dataset Project is set up to contain:
			* one dataset of [[Area]]s with a '''FOLIAGE''' attribute to export
			* One large area with the attribute TRAIN_LIMIT_AREA
			* One large area with the attribute TEST_LIMIT_AREA.

			The limit areas can be used to export a subset of the FOLIAGE area. Each subset can be exported with an [[Overlay]]. Since both sets are drawn based on a [[Satellite Overlay]] named ''Original Satellite'', we will use that Overlay.

	===Export a dataset===		===Export a dataset===
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	\| Wait until the dataset is fully generated.		\| Wait until the dataset is fully generated.
	}}		}}
	To export a test dataset, replace the intersecting areas attribute '''~~TRAIN_FOLIAGE~~''' by '''~~TEST_FOLIAGE~~''' and export it to a different directory, for example ''user/documents/foliage/test/demo_training_data''		To export a test dataset, replace the intersecting areas attribute '''TRAIN_LIMIT_AREA''' by '''TEST_LIMIT_FOLIAGE''' and export it to a different directory, for example ''user/documents/foliage/test/demo_training_data''