Dataset Versions
Versions
only-smoke-and-fire
v10
· 4 months ago
2024-10-08 3:36am
v9
· 4 months ago
2024-10-08 3:33am
v8
· 4 months ago
2024-10-08 3:32am
v7
· 4 months ago
augmented_dataset
v6
· 5 months ago
full_real_dataset_fixed
v5
· 5 months ago
full_real_dataset
v4
· 5 months ago
no_smoke
v3
· 5 months ago
segmented
v2
· 5 months ago
v10
only-smoke-and-fire
Generated on Oct 9, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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566 Total Images
View All Images
Dataset Split
Train Set 88%
498Images
Valid Set 7%
42Images
Test Set 5%
26Images
Preprocessing
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 2.5px