Vest Detection Image Dataset
Versions
2023-08-07 10:04am
v24
Aug 7, 2023
2023-08-07 10:00am
v23
Aug 7, 2023
2023-08-07 9:59am
v22
Aug 7, 2023
2023-08-06 9:15pm
v21
Aug 6, 2023
2023-08-06 9:13pm
v20
Aug 6, 2023
2023-08-06 9:11pm
v19
Aug 6, 2023
2023-08-01 3:08pm
v18
Aug 1, 2023
2023-08-01 3:02pm
v15
Aug 1, 2023
2023-07-31 11:43pm
v10
Jul 31, 2023
2023-06-25 1:17pm
v5
Jun 25, 2023
v19
2023-08-06 9:11pm
Generated on Aug 6, 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.
900 Total Images
View All Images
Dataset Split
Train Set 73%
654Images
Valid Set 18%
164Images
Test Set 9%
82Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -23° and +23°
Saturation: Between -5% and +5%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
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