Dataset Versions

Versions
87 for easy
v31
·
3 days ago
91 for easy
v30
·
4 days ago
89 for easy
v29
·
5 days ago
90 for easy
v28
·
5 days ago
84 for easy
v27
·
7 days ago
86 for easy
v26
·
7 days ago
88 for easy
v25
·
8 days ago
2024-11-20 3:02pm
v24
·
8 days ago
v23
v23
·
8 days ago
2024-11-19 4:42pm
v22
·
9 days ago
2024-11-16 12:35pm
v21
·
12 days ago
2024-11-16 11:20am
v20
·
12 days ago
for pipeline testing
v19
·
12 days ago
2024-11-16 9:35am
v18
·
12 days ago
2024-11-15 11:59pm
v17
·
12 days ago
2024-11-15 9:28pm
v16
·
12 days ago
2024-11-15 3:11pm
v14
·
13 days ago
2024-11-14 12-27pm
v13
·
14 days ago
94 for easy
v12
·
14 days ago
2024-11-13 6:41am
v9
·
15 days ago
2024-11-12 9:11am
v7
·
16 days ago
2024-11-09 6:16am
v6
·
19 days ago
baseline
v3
·
20 days ago
2024-10-26 5:12am
v2
·
a month ago
v31

87 for easy

Generated on Nov 25, 2024
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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3289 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 87%
2877Images
Valid Set 8%
275Images
Test Set 4%
137Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 1 dropped
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Exposure: Between -10% and +10%
Bounding Box: Crop: 0% Minimum Zoom, 30% Maximum Zoom
Bounding Box: Rotation: Between -10° and +10°

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