description: <p><strong>Description:</strong></p><p>This is a Learning Object Recognition Algorithm (LoRa) specifically trained to recognize and identify simple wooden shapes set against a white background. The algorithm is fine-tuned on 952 images to ensure precision in identifying various wooden shapes effectively. Over 33k steps were used to train this model with a 3090. It took around 5 hours.</p><p>It's still in a hit or miss stage, as some concepts do not play well. </p><p><strong>Usage Instruction:</strong></p><p><strong>To activate the algorithm, use the trigger phrase 'wood shape' followed by the specific shape you intend to identify, for example, 'wood shape of a dog'.</strong></p><p><strong>Key Characteristics:</strong></p><ul><li><p><strong>Specialized Training:</strong> Focused training on wooden shapes for accurate recognition.</p></li><li><p><strong>Trigger Phrase Activation:</strong> Utilizes 'wood shape' as a trigger phrase for easy and straightforward operation.</p></li><li><p><strong>Background Specific:</strong> Optimally functions with images featuring a white background.</p></li></ul><p><strong>Use Cases:</strong></p><ul><li><p>Suitable for educational and instructional purposes in a learning environment.</p></li><li><p>Can be utilized in creative projects or DIY crafts involving wooden shapes.</p></li><li><p>Aids in cataloging or organizing wooden shapes effectively.</p></li></ul>
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modelVersions.name: v1.0
modelVersions.publishedAt: 2023-10-22T20:45:25.311Z
modelVersions.trainedWords: wood shape
name: Wood Shape
tags: concept wood silhouette laser cut