attendance Image Dataset
Versions
2023-08-10 12:26pm
v16
Aug 10, 2023
2023-08-05 9:01pm
v15
Aug 5, 2023
2023-08-05 7:02pm
v14
Aug 5, 2023
2023-08-03 8:03am
v13
Aug 3, 2023
2023-08-03 4:43am
v12
Aug 2, 2023
2023-08-02 12:08pm
v11
Aug 2, 2023
2023-08-02 9:40am
v10
Aug 2, 2023
2023-08-02 9:32am
v9
Aug 2, 2023
2023-08-02 5:36am
v8
Aug 1, 2023
2023-08-02 1:34am
v7
Aug 1, 2023
2023-06-18 8:37pm
v6
Jun 18, 2023
2023-03-06 2:37am
v5
Mar 5, 2023
2023-02-08 11:59pm
v4
Feb 8, 2023
2023-02-08 11:28pm
v3
Feb 8, 2023
2023-02-08 11:23pm
v2
Feb 8, 2023
2023-02-08 11:21pm
v1
Feb 8, 2023
v16
2023-08-10 12:26pm
Generated on Aug 10, 2023
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.
382 Total Images
View All Images
Dataset Split
Train Set 87%
333Images
Valid Set 9%
33Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 3% of pixels
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