Dataset Versions
Versions
2023-04-18 2:57pm
v31
· 2 years ago
7 classes
v30
· 2 years ago
2023-04-15 11:39pm
v29
· 2 years ago
more test
v28
· 2 years ago
FinalVersion1
v27
· 2 years ago
2023-04-14 8:35pm
v26
· 2 years ago
2023-04-14 8:33pm
v25
· 2 years ago
2023-04-14 9-32am
v24
· 2 years ago
2023-04-13 11:54pm
v23
· 2 years ago
Categorizeclasses
v22
· 2 years ago
2023-04-13 9:27pm
v21
· 2 years ago
NoAugmentation
v20
· 2 years ago
2023-04-13 3:00pm
v19
· 2 years ago
2023-04-13 12:05pm
v18
· 2 years ago
2023-04-13 11:08am
v17
· 2 years ago
2023-04-13 10:49am
v16
· 2 years ago
2023-04-13 9:52am
v15
· 2 years ago
2023-04-13 9:22am
v14
· 2 years ago
2023-04-13 9:02am
v13
· 2 years ago
2023-04-11 10:49am
v12
· 2 years ago
2023-04-10 10:09pm
v11
· 2 years ago
2023-04-10 9:51pm
v10
· 2 years ago
2023-04-10 8:50pm
v9
· 2 years ago
2023-04-10 10:32am
v8
· 2 years ago
2023-04-08 4:59pm
v7
· 2 years ago
2023-04-08 4:38pm
v6
· 2 years ago
2023-04-05 4:16pm
v5
· 2 years ago
2023-04-04 2:45pm
v4
· 2 years ago
2023-03-29 1:30pm
v3
· 2 years ago
2023-03-29 12:15am
v2
· 2 years ago
2023-03-26 8:02pm
v1
· 2 years ago
v19
2023-04-13 3:00pm
Generated on Apr 13, 2023
2148 Total Images
View All Images
Dataset Split
Train Set 92%
1968Images
Valid Set %
0Images
Test Set 8%
180Images
Preprocessing
Auto-Orient: Applied
Static Crop: 40-60% Horizontal Region, 25-75% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images