TFT Image Dataset
Versions
2023-02-02 2:22am
v18
Feb 2, 2023
2023-02-01 9:24pm
v17
Feb 1, 2023
2023-01-31 4:54am
v11
Jan 31, 2023
2023-01-31 12:03am
v10
Jan 30, 2023
2023-01-30 12:18am
v9
Jan 29, 2023
2023-01-30 12:00am
v8
Jan 29, 2023
2023-01-29 10:50pm
v7
Jan 29, 2023
2023-01-29 5:45pm
v6
Jan 29, 2023
2023-01-28 11:28pm
v5
Jan 28, 2023
2023-01-16 2:17am
v2
Jan 16, 2023
v7
2023-01-29 10:50pm
Generated on Jan 29, 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
Choose another format.
1325 Total Images
View All Images
Dataset Split
Train Set 91%
1203Images
Valid Set 9%
121Images
Test Set 0%
1Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -50% and +50%
Exposure: Between -19% and +19%
Cutout: 9 boxes with 7% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 1px
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