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Datasets:
issai
/
OpenThermalPose

Tasks:
Object Detection
Modalities:
Image
Text
Formats:
imagefolder
Size:
1K - 10K
Tags:
thermal human pose estimation
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
Community
rassulya commited on
Commit
8208913
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1 Parent(s): 0dfaa4b

Delete unnessary links from dataset card

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  1. README.md +0 -2
README.md CHANGED
@@ -12,7 +12,6 @@ This dataset card describes OpenThermalPose and its extension, OpenThermalPose2,
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  * **Annotations:** Bounding boxes, 17 keypoints
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  * **Activities:** Fitness exercises, multiple-person activities, outdoor walking
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  * **Conditions:** Varied weather conditions and locations
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- * **Download:** [Link to Dataset](https://drive.google.com/file/d/1C5ThcFZm1twYtEta8GWUe1SENc9ER_0t/view?usp=sharing)
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  * **Pre-trained Models:** [Link to Pre-trained Models](https://drive.google.com/file/d/1BS2AB6wGRjZ8Tvz44_jkURR6moRpVS1j/view?usp=sharing)
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@@ -24,7 +23,6 @@ This dataset card describes OpenThermalPose and its extension, OpenThermalPose2,
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  * **Annotations:** Bounding boxes, 17 keypoints
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  * **Activities:** Fitness exercises, multiple-person activities, indoor sitting, outdoor walking
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  * **Conditions:** Varied weather conditions and locations, indoor and outdoor settings
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- * **Download:** [Link to Dataset](https://drive.google.com/file/d/1BDVprz9NtenCp3wDovA2lfKVBzJDCTt2/view?usp=sharing)
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  * **Pre-trained Models:** [Link to Pre-trained Models](https://drive.google.com/file/d/19bvKSNKs3Z-8EFSJcTMaI-MdkNwVKh1f/view?usp=sharing)
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  * **Annotations:** Bounding boxes, 17 keypoints
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  * **Activities:** Fitness exercises, multiple-person activities, outdoor walking
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  * **Conditions:** Varied weather conditions and locations
 
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  * **Pre-trained Models:** [Link to Pre-trained Models](https://drive.google.com/file/d/1BS2AB6wGRjZ8Tvz44_jkURR6moRpVS1j/view?usp=sharing)
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  * **Annotations:** Bounding boxes, 17 keypoints
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  * **Activities:** Fitness exercises, multiple-person activities, indoor sitting, outdoor walking
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  * **Conditions:** Varied weather conditions and locations, indoor and outdoor settings
 
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  * **Pre-trained Models:** [Link to Pre-trained Models](https://drive.google.com/file/d/19bvKSNKs3Z-8EFSJcTMaI-MdkNwVKh1f/view?usp=sharing)
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