terrorist-flags-definitivo Dataset
Versions
2024-10-31 6:42pm
v24
· 9 hours ago
2024-10-31 12:40pm
v23
· 15 hours ago
2024-10-30 11:16pm
v21
· a day ago
good
v18
· 4 days ago
2024-10-23 10:29pm
v16
· 8 days ago
2024-10-23 10:22pm
v15
· 8 days ago
2024-10-22 10:40am
v11
· 10 days ago
2024-10-20 9:12am
v8
· 12 days ago
2024-10-19 3:23pm
v5
· 13 days ago
2024-10-19 2:01pm
v2
· 13 days ago
2024-10-19 1:59pm
v1
· 13 days ago
v24
2024-10-31 6:42pm
Generated on Oct 31, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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5523 Total Images
View All Images
Dataset Split
Train Set 88%
4848Images
Valid Set 8%
452Images
Test Set 4%
223Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Noise: Up to 0.04% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom