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Other interesting articles:
- How we accidentally built the most accurate AI insect detection app -- https://www.linkedin.com/pulse/how-we-accidentally-built-most-accurate-ai-insect-detection-krish
🤔 Does this article imply that it might be enough to remove background/shadows (possibly this stage could be automatized with another algorithm/AI) to get much better training results overall?
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Classifying the Unknown: Identification of Insects by Deep Zero-shot Bayesian Learning -- https://www.researchgate.net/publication/356706523_Classifying_the_Unknown_Identification_of_Insects_by_Deep_Zero-shot_Bayesian_Learning
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The Benefits of Using Stable Diffusion AI in Image Recognition: https://ts2.space/en/the-benefits-of-using-stable-diffusion-ai-in-image-recognition/
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The Power of AI-Generated Training Data: Image Recognition With DALL-E
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TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models
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Accurate detection and identification of insects from camera trap images with deep learning
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Textural Analysis for Medicinal Plants Identification Using Log Gabor Filters
from inatvisiontraining.
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