Dataset Versions
Versions
2022-12-18 4:55pm
v13
· 2 years ago
2022-12-18 4:51pm
v12
· 2 years ago
Full_set_17val_10Test
v11
· 2 years ago
Full_set_8val_4Test
v10
· 2 years ago
2022-12-14 5:13pm
v9
· 2 years ago
2022-12-13 5:33pm
v8
· 2 years ago
2022-12-12 12:30am
v5
· 2 years ago
2022-12-12 12:26am
v4
· 2 years ago
2022-12-12 12:15am
v3
· 2 years ago
2022-12-09 1:26am
v2
· 2 years ago
2022-12-08 12:12pm
v1
· 2 years ago
v10
Full_set_8val_4Test
Generated on Dec 16, 2022
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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735 Total Images
View All ImagesDataset Split
Train Set 88%
645Images
Valid Set 8%
60Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x720
Augmentations
Outputs per training example: 3
Rotation: Between -7° and +7°
Saturation: Between -38% and +38%
Brightness: Between 0% and +14%
Exposure: Between -5% and +5%
Blur: Up to 2.25px
Bounding Box: Rotation: Between -7° and +7°