Dataset Versions
Versions
test2
v34
· 3 months ago
test
v33
· 3 months ago
FC_3
v32
· 4 months ago
CUM_2
v31
· 4 months ago
CCUM_3
v30
· 4 months ago
CCUM_2
v29
· 4 months ago
FCUM_3
v28
· 4 months ago
FCUM_2
v27
· 4 months ago
CUM_3
v26
· 4 months ago
CUM_2
v25
· 4 months ago
CCU_3
v24
· 4 months ago
CCU_2
v23
· 4 months ago
FCU_3
v22
· 4 months ago
FCU_2
v21
· 4 months ago
FCM_3
v16
· 4 months ago
FCM_2
v15
· 4 months ago
CM_3
v12
· 4 months ago
CM_2
v11
· 4 months ago
FM_3
v10
· 4 months ago
FM_2
v9
· 4 months ago
FC_3
v4
· 4 months ago
FC_2
v3
· 4 months ago
baseline
v1
· 5 months ago
v9
FM_2
Generated on Jul 18, 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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1261 Total Images
View All ImagesDataset Split
Train Set 82%
1038Images
Valid Set 12%
149Images
Test Set 6%
74Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Mosaic: Applied