Final Measure_V2 Dataset
Versions
2024-09-07 11:40am
v20
· 12 days ago
2024-09-06 9:21am
v19
· 13 days ago
2024-09-06 7:30am
v18
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2024-09-05 9:47am
v17
· 14 days ago
2024-09-04 4:27pm
v16
· 15 days ago
2024-09-03 9:08pm
v15
· 16 days ago
2024-09-03 8:32pm
v14
· 16 days ago
2024-09-03 12:44pm
v13
· 16 days ago
2024-08-31 4:24pm
v12
· 19 days ago
2024-08-31 7:51am
v11
· 19 days ago
2024-08-30 9:20pm
v10
· 20 days ago
2024-08-28 8:17pm
v8
· 22 days ago
2024-08-28 4:57pm
v7
· 22 days ago
2024-08-27 5:21pm
v5
· 23 days ago
2024-08-27 5:13pm
v4
· 23 days ago
2024-08-27 2:36pm
v3
· 23 days ago
2024-08-27 2:22pm
v2
· 23 days ago
2024-08-27 1:59pm
v1
· 23 days ago
v7
2024-08-28 4:57pm
Generated on Aug 28, 2024
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TXT annotations and YAML config used with YOLOv9.
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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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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992 Total Images
View All ImagesDataset Split
Train Set 90%
888Images
Valid Set 6%
64Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%