Dataset Versions
Versions
avec toutes les data - augmentation dt contrast - 29
v35
· 2 years ago
avec data trappes et augmentation bis - 10 CLASSES
v31
· 2 years ago
avec data trappes sans augmentation - 29 classes
v29
· 2 years ago
avec data trappes et augmentation bis - 29 classes
v28
· 2 years ago
avec data trappes et augmentation - 29 CLASSES
v27
· 2 years ago
avec data trappes et augmentation - 11 classes
v26
· 2 years ago
v31
avec data trappes et augmentation bis - 10 CLASSES
Generated on May 6, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
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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4089 Total Images
View All Images
Dataset Split
Train Set 92%
3777Images
Valid Set 4%
156Images
Test Set 4%
156Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 63 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Blur: Up to 2px
Bounding Box: Exposure: Between -32% and +32%