Dataset Versions
Versions
Layer 2 v1
v18
· a year ago
Layer 1
v17
· a year ago
2023-10-04 12:13pm
v16
· a year ago
Layer 2
v13
· a year ago
Train-85-10-5-_epoch 100_640_lr0 0.05_lrf 1
v12
· a year ago
Epoch 100_640_lr0 0.05_lrf 1
v11
· a year ago
Epoch 100_640_lr0 0.15_lrf 1
v10
· a year ago
Epoch 100_640_lr0 0.10_lrf 1
v9
· a year ago
Epoch 100_640_lr0-0.05_lrf-0.05
v8
· a year ago
Epoch 100_640_lr0-0.05_lrf-1
v7
· a year ago
Epoch 65_640
v6
· a year ago
Epoch 75_640
v5
· a year ago
Epoch 50_640
v4
· a year ago
Epoch 100_640
v3
· a year ago
v7
Epoch 100_640_lr0-0.05_lrf-1
Generated on Sep 14, 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.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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1484 Total Images
View All ImagesDataset Split
Train Set 95%
1404Images
Valid Set 4%
55Images
Test Set 2%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -40% and +0%
Exposure: Between -20% and +20%
Blur: Up to 2.5px