Dataset Versions
Versions
AugNewData_MCandNone_80X240
v13
· 6 months ago
AugNewData_MCandNone640
v12
· 7 months ago
AugNewData_MCandNone
v10
· 7 months ago
AugNewData_MC
v9
· 7 months ago
Augmented_withMCandNone
v8
· 8 months ago
Augmented_withMC
v7
· 8 months ago
Complete_DB1_Augmented
v6
· 8 months ago
Complete_DB1
v5
· 8 months ago
Right Arrow
v3
· 8 months ago
Arrow RYG
v1
· 8 months ago
v7
Augmented_withMC
Generated on Apr 2, 2024
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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.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
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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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2189 Total Images
View All Images
Dataset Split
Train Set 88%
1917Images
Valid Set 8%
181Images
Test Set 4%
91Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%