yolo8-detection-red-PFM Image Dataset
v1
2023-11-27 8:13am
Generated on Nov 27, 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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2555 Total Images
View All Images
Dataset Split
Train Set 95%
2433Images
Valid Set 2%
62Images
Test Set 2%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns
Filter Null: Require at least 20% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 5 boxes with 9% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom
Bounding Box: Shear: ±13° Horizontal, ±13° Vertical
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 1% of pixels
PFM-landmine-51x9
391 images
PFM-landmine-ilVH
167 images
trash
175 images
leaves
82 images
fallen-leaves-trash
48 images