Tiger Detection Dataset - Kaggle
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ATRW Dataset - Papers With Code
The ATRW Dataset contains over 8,000 video clips from 92 Amur tigers, with bounding box, pose keypoint, and tiger identity annotations.
LcenArthas/CVWC2019-Amur-Tiger-Detection - GitHub
To generate detected tiger pictures for Tiger Re-ID in the Wild. Tested under python3. Ubantu16.04. pycocotools — for COCO dataset, also available from pip. An NVIDAI GPU and CUDA 8.0 or higher. Some operations only have gpu implementation. Compile the CUDA code:
Tiger Labeled Image Dataset | images.cv
This dataset is can be used for image classification, object detection, image segmentation and other computer vision tasks, like image recognition and image generation. Download Tiger labeled image dataset from images.cv, containing annotated Tiger images.
Amur Tiger ReIdentification - Kaggle
This dataset contains more than 8,000 video clips of 92 individual Amur tigers Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more
Amur Tiger Re-identification - Kaggle
Re-identify a tiger by using computer vision and deep learning techniques Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more
Amur Tiger Re-identification - LILA BC
Aug 11, 2019 · This dataset contains more than 8,000 video clips of 92 individual Amur tigers from 10 zoos in China. Around 9500 bounding boxes are provided along with pose keypoints, and around 3600 of those bounding boxes are associated with an individual tiger ID.
Amur Tiger Individual Identification Based on the Improved ...
Aug 9, 2024 · We tested our model on a large dataset of tiger images and found it to be highly effective, achieving an average recognition accuracy of over 95% for different body parts, with left stripes reaching the highest 99.37%.
We establish the efficacy of our approach on the Plain Re-ID challenge task by reporting results on the pre-cropped tiger Re-ID dataset. To further test our Re-ID models robust-ness to detection quality, we also report results on the Wild Re-ID task, which incorporates learning a …
Amur Tiger Individual Identification Based on the Improved
Aug 9, 2024 · Considering their classification as an endangered flagship species, the ability to recognize individual Amur tigers is essential. Performance of the YOLOv5 model for feature detection, framing, and labeling is impressive for the Amur tiger dataset.
- Some results have been removed