su100 Image Dataset
v1
2023-02-01 3:28pm
Generated on Feb 1, 2023
Popular Download Formats
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.
288 Total Images
View All Images
Dataset Split
Train Set 83%
240Images
Valid Set 7%
20Images
Test Set 10%
28Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 41-100% Horizontal Region, 28-73% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Rotation: Between -27° and +27°
Grayscale: Apply to 29% of images
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 70% Maximum Zoom
Bounding Box: Brightness: Between -58% and +58%
Bounding Box: Blur: Up to 21.5px
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