serre_phone_and_web_detection Dataset
Versions
v10 resize 640x640
v12
· a month ago
v10 resize 1280x1280
v11
· a month ago
ajout Juin - avec augmentation dataset
v10
· 3 months ago
ajout Juin - sans augmentation dataset
v9
· 3 months ago
v5 nouvel ajout -avec concombre serre-
v8
· 4 months ago
v5 nouvel ajout -avec concombre serre- augmentation dataset 2
v7
· 4 months ago
v5 nouvel ajout -avec concombre serre- avec augmentation dataset
v6
· 4 months ago
v4 nouvel ajout -sans concombre serre- avec augmentation dataset
v5
· 4 months ago
v3 sans concombre avec augmentation dataset
v4
· 4 months ago
v2 avec augmentation dataset
v3
· 4 months ago
v2 sans resize avec peu de concombre
v2
· 4 months ago
v1 sans resize
v1
· 4 months ago
v4
v3 sans concombre avec augmentation dataset
Generated on May 29, 2024
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TXT annotations and YAML config used with YOLOv9.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1003 Total Images
View All ImagesDataset Split
Train Set 91%
912Images
Valid Set 6%
57Images
Test Set 3%
34Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 4
Rotation: Between -15° and +15°
Noise: Up to 0.1% of pixels