LUP Image Dataset
Versions
2023-11-02 3:25pm
v9
Nov 2, 2023
2023-10-20 10:07pm
v8
Oct 20, 2023
2023-10-20 1:54am
v7
Oct 19, 2023
2023-10-19 4:39pm
v6
Oct 19, 2023
2023-10-18 11:53pm
v5
Oct 18, 2023
2023-10-18 11:43am
v4
Oct 18, 2023
2023-10-17 1:59pm
v3
Oct 17, 2023
2023-10-16 11:43pm
v2
Oct 16, 2023
2023-10-16 5:29pm
v1
Oct 16, 2023
v3
2023-10-17 1:59pm
Generated on Oct 17, 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.
895 Total Images
View All Images
Dataset Split
Train Set 92%
822Images
Valid Set 5%
48Images
Test Set 3%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
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