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Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards
These findings illustrate the potential of synthetic data generation techniques as a viable alternative to the collection of extensive training data for object detection models.
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models
This study illustrates the potential of synthetic data generation techniques as a viable alternative to the collection of extensive training data for the training of deep models.
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation
Given the hyper-spectral imaging unique potentials in grasping the polymer characteristics of different materials, it is commonly used in sorting procedures.
On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging
The importance of plastic waste recycling is undeniable.
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