UAML Dataset
Versions
2023-11-07 5:01pm
v10
· a year ago
2023-11-07 1:08pm
v9
· a year ago
2023-11-07 4:58am
v8
· a year ago
2023-11-07 4:52am
v7
· a year ago
2023-11-07 2:00am
v6
· a year ago
2023-10-26 12:43pm
v5
· a year ago
2023-10-26 10:02am
v4
· a year ago
2023-10-25 4:37pm
v3
· a year ago
2023-10-24 1:47pm
v2
· a year ago
2023-08-03 9:31am
v1
· a year ago
v4
2023-10-26 10:02am
Generated on Oct 26, 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.
3987 Total Images
View All Images
Dataset Split
Train Set 88%
3489Images
Valid Set 8%
332Images
Test Set 4%
166Images
Preprocessing
Resize: Stretch to 200x200
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Hue: Between -80° and +80°
Saturation: Between -58% and +58%
Brightness: Between -32% and +0%
Exposure: Between -19% and +19%
Blur: Up to 0.75px
Noise: Up to 5% of pixels
Cutout: 9 boxes with 8% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -4% and +4%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 1% of pixels