TCC_2 Image Dataset
v2
New-Data_Augmentation
Generated on Sep 11, 2021
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.
1667 Total Images
View All Images
Dataset Split
Train Set %
0Images
Valid Set %
0Images
Test Set 100%
1667Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 1.5px
Similar Projects
All-the-boxes-in-these-images
1493 images
A
1880 images
a
1880 images
1234
1493 images
pole
3181 images