Real smoke Dataset
Versions
no augmentation
v9
· 2 years ago
GoPro-SmokeEmpty
v8
· 2 years ago
GoPro-Smoke100k
v7
· 2 years ago
with GoPro
v6
· 2 years ago
3aug_grayscale
v5
· 2 years ago
3aug_basic_betterBalance
v4
· 2 years ago
2022-04-15 9:26am
v3
· 2 years ago
3 augmentations_basic
v2
· 2 years ago
2022-04-15 8:44am
v1
· 2 years ago
v5
3aug_grayscale
Generated on Apr 15, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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397 Total Images
View All Images
Dataset Split
Train Set 75%
297Images
Valid Set 25%
100Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Exposure: Between -17% and +17%
Blur: Up to 1.5px
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