an image dataset for object detection of wildlife in the mixed ...
This is an image dataset for object detection of wildlife in the mixed coniferous broad-leaved forest. A total of 25,657 images in this dataset were generated from video clips taken by infrared cameras in the Northeast Tiger and Leopard National Park, including 17 main species (15 wild animals and 2 major domestic animals): Amur tiger, Amur ...
NTLNP (wildlife image dataset) - Papers with Code
This is an image dataset for object detection of wildlife in the mixed coniferous broad-leaved forest. A total of 25,657 images in this dataset were generated from video clips taken by infrared cameras in the Northeast Tiger and Leopard National Park, including 17 main species (15 wild animals and 2 major domestic animals): Amur tiger, Amur ...
anasserhussien/Wildlife-YOLOv5 - GitHub
This repository applies YOLOv5 on animal images obtained from the Open Images Dataset Open Images Dataset. The README provides a step-by-step guide for the entire process, including image gathering, preparation, training the detection algorithm, and evaluation.
GitHub - WildlifeDatasets/wildlife-datasets: WildlifeDatasets: An …
overview of 36 publicly available wildlife re-identification datasets. utilities to mass download and convert them into a unified format and fix some wrong labels. default splits for several machine learning tasks including the ability create additional splits. An introductory example is provided in a Jupyter notebook.
GFI-YOLOv8: Sika Deer Posture Recognition Target Detection
2024年9月11日 · While enhancing the accuracy of sika deer posture recognition, GFI-YOLOv8 also maintains high detection speed and low computational cost. The experimental results demonstrate that GFI-YOLOv8 performs well on the self-built sika deer dataset, achieving an accuracy of 91.6% and a mAP50 improvement of 4.6%.
Enhancing Sika Deer Identification: Integrating CNN-Based ... - MDPI
2024年5月26日 · We analyzed 5169 image datasets consisting of images of seven individual Sika deers captured with three camera traps deployed on farmland in Hokkaido, Japan, for over 60 days. During our analysis, ResNet152 performed exceptionally well, achieving a training accuracy of 0.97, and a validation accuracy of 0.96, with mAP scores for the training ...
Deer Object Detection Dataset (v1, 2022-12-13 5:58pm) by Galen …
2023年12月2日 · 983 open source deer images and annotations in multiple formats for training computer vision models. Deer (v1, 2022-12-13 5:58pm), created by Galen Marsh
deer Object Detection Dataset (v1, 2023-04-11 6:41pm) by …
722 open source deer images and annotations in multiple formats for training computer vision models. deer (v1, 2023-04-11 6:41pm), created by Andrew Crook
deer Object Detection Dataset (v1, 2023-10-03 12:45am) by …
108 open source deer images and annotations in multiple formats for training computer vision models. deer (v1, 2023-10-03 12:45am), created by shiuana01
SAWIT: A small-sized animal wild image dataset with annotations
2023年9月25日 · The novelty of our work lies on SAWIT (small-sized animal wild image dataset), the first real-world dataset of small-sized animals, collected from camera traps and in realistic conditions. Our dataset consists of 34,434 images and is annotated by experts in the field with object-level annotations (bounding boxes) providing 34,820 annotated ...