fall_detection Image Dataset
Versions
2024-03-10 7:00pm
v10
Mar 10, 2024
2024-02-29 3:34pm
v9
Feb 29, 2024
2024-02-29 3:32pm
v8
Feb 29, 2024
2024-02-29 3:28pm
v7
Feb 29, 2024
2024-02-29 3:26pm
v6
Feb 29, 2024
2024-02-29 3:25pm
v5
Feb 29, 2024
2024-02-29 3:23pm
v4
Feb 29, 2024
2024-02-28 7:24pm
v3
Feb 28, 2024
2024-02-28 7:15pm
v2
Feb 28, 2024
2024-02-28 7:11pm
v1
Feb 28, 2024
v10
2024-03-10 7:00pm
Generated on Mar 10, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
11095 Total Images
View All ImagesDataset Split
Train Set 99%
10977Images
Valid Set 1%
59Images
Test Set 1%
59Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.14% of pixels
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