tft_champions_store Image Dataset
Versions
2023-08-16 2:29pm
v11
Aug 16, 2023
2023-08-16 12:27pm
v10
Aug 16, 2023
2023-08-15 6:14pm
v9
Aug 15, 2023
2023-08-15 4:00pm
v8
Aug 15, 2023
2023-08-15 3:13pm
v7
Aug 15, 2023
2023-08-11 4:25pm
v6
Aug 11, 2023
2023-08-10 2:12pm
v5
Aug 10, 2023
2023-08-09 3:33pm
v4
Aug 9, 2023
2023-08-09 11:43am
v3
Aug 9, 2023
2023-08-08 7:18pm
v2
Aug 8, 2023
2023-08-08 5:36pm
v1
Aug 8, 2023
v11
2023-08-16 2:29pm
Generated on Aug 16, 2023
Popular Download Formats
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.
Other Formats
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799 Total Images
View All Images
Dataset Split
Train Set 78%
622Images
Valid Set 13%
103Images
Test Set 9%
74Images
Preprocessing
Auto-Orient: Applied
Static Crop: 11-79% Horizontal Region, 79-100% Vertical Region
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -5° and +5°
Blur: Up to 0.25px
Noise: Up to 6% of pixels
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