fire_detection2 Dataset
Versions
2023-07-27 1:36pm
v14
· a year ago
2023-07-27 1:33pm
v13
· a year ago
2023-07-20 6:17pm
v12
· a year ago
2023-07-19 6:05pm
v11
· a year ago
2023-07-19 12:34pm
v10
· a year ago
2023-07-17 5:11pm
v9
· a year ago
2023-07-17 5:08pm
v8
· a year ago
2023-07-17 4:59pm
v7
· a year ago
2023-07-17 4:52pm
v6
· a year ago
2023-07-17 4:43pm
v5
· a year ago
2023-07-17 4:21pm
v4
· a year ago
2023-07-17 3:01pm
v3
· a year ago
2023-07-17 12:14am
v2
· a year ago
2023-07-14 6:36pm
v1
· a year ago
v13
2023-07-27 1:33pm
Generated on Jul 27, 2023
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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.
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.
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1076 Total Images
View All Images
Dataset Split
Train Set 89%
957Images
Valid Set 7%
80Images
Test Set 4%
39Images
Preprocessing
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Flip: Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Hue: Between -25° and +25°
Blur: Up to 2.5px