SURFACEv1 Image Dataset
Versions
2022-10-30 9:45am
v9
Oct 30, 2022
2022-10-24 5:40pm
v8
Oct 24, 2022
2022-10-19 2:59pm
v7
Oct 19, 2022
2022-10-19 2:20pm
v6
Oct 19, 2022
2022-10-18 5:38pm
v5
Oct 18, 2022
2022-10-18 4:06pm
v4
Oct 18, 2022
2022-10-14 4:29am
v3
Oct 14, 2022
2022-10-10 4:21pm
v2
Oct 10, 2022
2022-10-10 3:57pm
v1
Oct 10, 2022
v9
2022-10-30 9:45am
Generated on Oct 30, 2022
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.
3764 Total Images
View All ImagesDataset Split
Train Set 87%
3285Images
Valid Set 8%
311Images
Test Set 4%
168Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 0 remapped, 2 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -104° and +104°
Brightness: Between -25% and +25%
Blur: Up to 3.75px
Noise: Up to 2% of pixels
Cutout: 14 boxes with 10% size each
Mosaic: Applied
Bounding Box: Exposure: Between -51% and +51%
Bounding Box: Noise: Up to 5% of pixels
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