Dataset Versions
Versions
2023-08-31 7:19pm
v10
· a year ago
2023-06-15 8:06pm
v9
· 2 years ago
2023-06-14 7:08pm
v8
· 2 years ago
2023-06-14 6:31pm
v7
· 2 years ago
2023-06-14 6:09pm
v6
· 2 years ago
2023-06-14 11:07am
v5
· 2 years ago
2023-06-08 10:12am
v4
· 2 years ago
Fire-Variety -Augv2 640x640
v3
· 2 years ago
Fire-Variety -Aug 640x640
v2
· 2 years ago
Fire-Variety 640x640
v1
· 2 years ago
v4
2023-06-08 10:12am
Generated on Jun 8, 2023
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.
Other Formats
Choose another format.
4088 Total Images
View All Images
Dataset Split
Train Set 84%
3436Images
Valid Set 16%
652Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 2
Exposure: Between -15% and +15%
Noise: Up to 2% of pixels