UGA image detection Dataset
Versions
2023-06-15 12:32pm
v10
· a year ago
2023-06-15 11:53am
v9
· a year ago
2023-06-14 2:00pm
v8
· a year ago
2023-06-14 1:42pm
v7
· a year ago
2023-06-08 2:30pm
v6
· a year ago
2023-06-08 2:21pm
v5
· a year ago
2023-06-08 2:17pm
v4
· a year ago
Dataset 3-
v3
· a year ago
data set 2
v2
· a year ago
Practice dataset -missing-scraper-
v1
· a year ago
v3
Dataset 3-
Generated on Jun 7, 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.
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1335 Total Images
View All Images
Dataset Split
Train Set 92%
1227Images
Valid Set 5%
71Images
Test Set 3%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 70% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Brightness: Between -29% and +29%
Cutout: 18 boxes with 12% size each