better_test _with_final_dataset Image Dataset
v1
with aug
Generated on Jul 15, 2022
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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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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4189 Total Images
View All ImagesDataset Split
Train Set 90%
3786Images
Valid Set 5%
203Images
Test Set 5%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Modify Classes: 7 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Brightness: Between -20% and +20%
Exposure: Between -8% and +8%
Noise: Up to 5% of pixels
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