Prayag Pawar

Edit Project

tanks_f

Object Detection

tanks_f Image Dataset

Try Pre-Trained Model
Versions
2023-02-21 7:08pm
v16
·
a year ago
2023-02-21 4:35pm
v15
·
a year ago
2023-02-21 4:12pm
v14
·
a year ago
2023-02-21 4:10pm
v13
·
a year ago
2023-02-21 3:40pm
v12
·
a year ago
2023-02-21 12:27pm
v11
·
a year ago
2023-02-02 7:04pm
v10
·
a year ago
2023-02-02 5:56pm
v9
·
a year ago
2023-02-01 7:03pm
v8
·
a year ago
2023-02-01 4:31pm
v7
·
a year ago
2023-02-01 4:30pm
v6
·
a year ago
2023-02-01 12:39pm
v5
·
a year ago
2023-02-01 12:32pm
v4
·
a year ago
2023-01-31 7:28pm
v3
·
a year ago
2023-01-31 7:00pm
v2
·
a year ago
2023-01-31 5:10pm
v1
·
a year ago
v11

2023-02-21 12:27pm

Generated on Feb 21, 2023
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.

463 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 86%
397Images
Valid Set 9%
43Images
Test Set 5%
23Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images