OS forest Image Dataset
Versions
2023-05-30 11:57am
v12
· a year ago
2023-05-24 12:22pm
v10
· a year ago
2023-05-24 11:45am
v9
· a year ago
2023-05-23 3:49pm
v8
· a year ago
2023-05-23 11:49am
v6
· a year ago
2023-05-23 10:59am
v5
· a year ago
2023-05-22 10:58pm
v3
· a year ago
2023-05-22 10:52pm
v2
· a year ago
2023-05-22 3:33pm
v1
· a year ago
v12
2023-05-30 11:57am
Generated on May 30, 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
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501 Total Images
View All Images
Dataset Split
Train Set 87%
435Images
Valid Set 8%
40Images
Test Set 5%
26Images
Preprocessing
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -99% and +99%
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 10 boxes with 2% size each
Mosaic: Applied
Bounding Box: Noise: Up to 1% of pixels
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