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
v27
FCUM_2
Generated on Jul 21, 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.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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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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1261 Total Images
View All Images
Dataset 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
Cutout: 3 boxes with 10% size each
Mosaic: Applied