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Stall Number Detection of Cow Teats Key Frames

arXiv 2303.10444 ↗First posted 18 Mar 2023cs.CVcited by 0

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Abstract (arXiv)

In this paper, we present a small cow stall number dataset named CowStallNumbers, which is extracted from cow teat videos with the goal of advancing cow stall number detection. This dataset contains 1042 training images and 261 test images with the stall number ranging from 0 to 60. In addition, we fine-tuned a ResNet34 model and augmented the dataset with the random crop, center crop, and random rotation. The experimental result achieves a 92% accuracy in stall number recognition and a 40.1% IoU score in stall number position prediction.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 29 references that are in the map. First posted on arXiv 18 Mar 2023.

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References · 19

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  2. 2017Mask R-CNNcited by 7,277
  3. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  4. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  5. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  6. 2015Fast R-CNNcited by 2,933
  7. 2018YOLOv3: An Incremental Improvementcited by 2,659
  8. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  9. 2016YOLO9000: Better, Faster, Strongercited by 1,431
  10. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,276
  11. 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 982
  12. 2019NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detectioncited by 291
7 more
  1. 2022YOLOv6: A Single-Stage Object Detection Framework for Industrial Applicationscited by 275
  2. 2017Single-Shot Refinement Neural Network for Object Detectioncited by 129
  3. 2015DenseBox: Unifying Landmark Localization with End to End Object Detectioncited by 58
  4. 2019Towards Accurate One-Stage Object Detection with AP-Losscited by 36
  5. 2017RON: Reverse Connection with Objectness Prior Networks for Object Detectioncited by 27
  6. 2018DetNet: A Backbone network for Object Detectioncited by 22
  7. 2017CoupleNet: Coupling Global Structure with Local Parts for Object Detectioncited by 16

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