Dataset Versions
Versions
november-2-sets-and-old-sets
v11
· a year ago
november-2-augmented-sets-and-old-sets
v10
· a year ago
10-16-17-18 october augmented sets 2023-10-27 12-54pm
v7
· a year ago
10-16-17-18 october sets 2023-10-27 12-50pm
v6
· a year ago
10 october augmented sets 2023-10-12 9-12pm
v5
· a year ago
10 october sets 2023-10-12 9-06pm
v4
· a year ago
22 august augmented sets 2023-10-12 9-00pm
v3
· a year ago
22 august sets 2023-10-12 8-58pm
v2
· a year ago
wrong version 2023-10-07 2-43am
v1
· a year ago
v7
10-16-17-18 october augmented sets 2023-10-27 12-54pm
Generated on Oct 27, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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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2286 Total Images
View All ImagesDataset Split
Train Set 87%
1998Images
Valid Set 8%
190Images
Test Set 4%
98Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Saturation: Between -60% and +60%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Mosaic: Applied