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sanxing_quelou_object_detection/3
v3
2024-03-14 10:02am
Generated on
Mar 14, 2024
Popular Download Formats
YOLOv11
TXT
annotations and YAML config used with YOLOv11.
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.
145 Total Images
View All Images
Dataset Split
Train
Set
87%
126Images
Valid
Set
9%
13Images
Test
Set
4%
6Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Contrast Stretching
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Rotation:
Between -15° and +15°
Shear:
±15° Horizontal, ±15° Vertical
Saturation:
Between -54% and +54%
Brightness:
Between -24% and +24%
Exposure:
Between -11% and +11%
Blur:
Up to 1.5px
Noise:
Up to 5% of pixels
Cutout:
3 boxes with 10% size each