Mask detection Image Dataset
Versions!
2024-04-23 11:40pm
v16
· 2 months ago
5431
2023-10-06 9:59pm
v15
· 9 months ago
5431
640x640
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2023-10-06 9:57pm
v14
· 9 months ago
5431
640x640
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2023-10-06 5:44pm
v13
· 9 months ago
4373
640x640
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2023-10-06 5:20pm
v12
· 9 months ago
3609
Fast
mask-detection-ugcht/9
2023-10-06 5:17pm
v11
· 9 months ago
3581
640x640
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2023-10-06 4:32pm
v10
· 9 months ago
3053
640x640
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2023-10-05 8:36pm
v9
· 9 months ago
2399
Fast
mask-detection-ugcht/4
2023-10-05 4:12pm
v8
· 9 months ago
2315
640x640
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2023-10-05 3:57pm
v7
· 9 months ago
2134
640x640
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2023-10-05 12:44pm
v6
· 9 months ago
2014
640x640
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2023-10-04 4:10pm
v5
· 9 months ago
1569
640x640
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2023-10-04 2:51pm
v4
· 9 months ago
908
Fast
COCOn
v16
2024-04-23 11:40pm
Generated on Apr 23, 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.
5431 Total Images
View All ImagesDataset Split
Train Set 88%
4758Images
Valid Set 8%
450Images
Test Set 4%
223Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 55% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -134° and +134°
Saturation: Between -63% and +63%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
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