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Found 2 papers, 1 papers with code
Few-Shot Fruit Segmentation via Transfer Learning
By leveraging pre-trained neural networks, accurate semantic segmentation of fruit in the field is achieved with only a few labeled images.
CitDet: A Benchmark Dataset for Citrus Fruit Detection
Concretely, we provide high-resolution images of citrus trees located in an area known to be highly affected by HLB, along with high-quality bounding box annotations of citrus fruit.
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