Abdelnasser Ahmed

Edit Project

ShelfCPlanogram

Object Detection

ShelfCPlanogram Image Dataset

Try Pre-Trained Model
Versions
removed-unbalanced-classes-2023-05-21
v33
·
a year ago
Balanced_classes_v3_2022-09-22
v32
·
2 years ago
Balanced_classes_v2_14-9
v29
·
2 years ago
Balanced_classes_version -V1-12-9-
v28
·
2 years ago
2022-09-12 1:16pm
v27
·
2 years ago
2022-09-04 3:27pm
v26
·
2 years ago
2022-08-31 1:17pm
v25
·
2 years ago
2022-08-31 12:49pm
v24
·
2 years ago
ShelfC_Planogram_V9_19_06_2022
v23
·
2 years ago
ShelfC_Planogram_V8_16_06_2022
v22
·
2 years ago
ShelfC_Plangoram_V7_14_06_2022
v21
·
2 years ago
ShelfC_Planogram_V6_12_02_2022
v20
·
2 years ago
Shelfc_Planogram_V5_09_06_2022
v19
·
2 years ago
ShelfC_Planogram_V4_08_06_2022
v18
·
2 years ago
ShelfC_Planogram_V3_06_06_2022
v17
·
2 years ago
ShelfC_Planogram_V2_06_06_2022
v16
·
2 years ago
ShelfC_Planogram_V1_29_05_2022
v15
·
2 years ago
2022-05-26 3:12pm
v14
·
2 years ago
2022-05-26 3:12pm
v13
·
2 years ago
2022-05-26 3:12pm
v12
·
2 years ago
2022-05-26 3:12pm
v11
·
2 years ago
2022-05-26 3:12pm
v10
·
2 years ago
2022-05-26 3:12pm
v9
·
2 years ago
2022-05-26 3:12pm
v8
·
2 years ago
2022-05-26 3:12pm
v7
·
2 years ago
2022-05-26 3:12pm
v6
·
2 years ago
2022-05-26 3:12pm
v5
·
2 years ago
2022-05-26 3:12pm
v4
·
2 years ago
2022-05-26 3:11pm
v3
·
2 years ago
2022-05-26 3:11pm
v2
·
2 years ago
2022-05-26 3:11pm
v1
·
2 years ago
v29

Balanced_classes_v2_14-9

Generated on Sep 14, 2022
Download Dataset

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

1404 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 82%
1149Images
Valid Set 10%
135Images
Test Set 9%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Modify Classes: 0 remapped, 8 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -29% and +29%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels