Dataset Versions
Versions
0206-incabin-416-enhanced
v18
· 10 months ago
0206-incabin-640-enhanced
v17
· 10 months ago
0206-incabin-640-raw
v16
· 10 months ago
0206-incabin-416-raw
v15
· 10 months ago
0206-incabin-notresize-raw
v14
· 10 months ago
2024-02-04 5:17pm
v8
· 10 months ago
2024-02-04 5:12pm
v7
· 10 months ago
0204-incabin-notresize-raw
v6
· 10 months ago
0204-incabin-640-raw
v5
· 10 months ago
0204-incabin-640-enhanced
v4
· 10 months ago
0204-incabin-416-raw
v3
· 10 months ago
0204-incabin-416-enhanced
v2
· 10 months ago
2024-02-04 2:54pm
v1
· 10 months ago
v4
0204-incabin-640-enhanced
Generated on Feb 4, 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.
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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.
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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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737 Total Images
View All Images
Dataset Split
Train Set 88%
645Images
Valid Set 6%
46Images
Test Set 6%
46Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±3° Horizontal, ±4° Vertical
Brightness: Between -8% and +8%
Blur: Up to 0.8px
Noise: Up to 0.5% of pixels