oilspot Image Dataset
Versions
2023-03-21 11:45pm
v10
Mar 21, 2023
2023-03-21 11:43pm
v9
Mar 21, 2023
2023-02-16 12:44am
v8
Feb 15, 2023
2023-02-15 6:49pm
v7
Feb 15, 2023
2023-02-15 6:27pm
v6
Feb 15, 2023
2023-02-15 6:23pm
v5
Feb 15, 2023
2023-02-15 6:22pm
v4
Feb 15, 2023
2023-02-15 5:47pm
v3
Feb 15, 2023
2023-02-15 5:40pm
v2
Feb 15, 2023
2023-02-15 5:40pm
v1
Feb 15, 2023
v8
2023-02-16 12:44am
Generated on Feb 15, 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.
87 Total Images
View All Images
Dataset Split
Train Set 86%
75Images
Valid Set 7%
6Images
Test Set 7%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 57% Maximum Zoom
Saturation: Between -14% and +14%
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
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