Crate Tracker

Edit Project

Storage Crates Collection 2

Object Detection

Storage Crates Collection 2 Image Dataset

Try Pre-Trained Model
Versions
2024-02-15 11:53am
v15
Feb 15, 2024
2024-02-10 1:32pm
v14
Feb 10, 2024
2024-02-08 2:23pm
v13
Feb 8, 2024
2023-12-09 8:55am
v12
Dec 9, 2023
2023-12-08 1:20pm
v11
Dec 8, 2023
2023-04-25 9:33am
v10
Apr 25, 2023
2023-04-25 9:11am
v9
Apr 25, 2023
2023-03-08 10:52am
v8
Mar 8, 2023
2023-02-17 1:26pm
v7
Feb 17, 2023
2023-02-16 2:22pm
v6
Feb 16, 2023
2022-12-01 3:41pm
v5
Dec 1, 2022
2022-12-01 9:01am
v4
Dec 1, 2022
2022-11-21 2:37pm
v3
Nov 21, 2022
2022-10-31 9:05am
v2
Oct 31, 2022
2022-10-29 12:52pm
v1
Oct 29, 2022
v5

2022-12-01 3:41pm

Generated on Dec 1, 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.

1059 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 89%
939Images
Valid Set 11%
120Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 2 boxes with 14% size each
Bounding Box: Shear: ±3° Horizontal, ±0° Vertical