Drop Detection Dataset

Try Pre-Trained Model
Versions
2023-12-27 1:02pm
v4
·
6 months ago
2023-12-22 3:15pm
v3
·
6 months ago
2023-12-22 2:56pm
v2
·
6 months ago
2023-12-22 10:39am
v1
·
6 months ago
v2

2023-12-22 2:56pm

Generated on Dec 22, 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.

1444 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 92%
1332Images
Valid Set 6%
84Images
Test Set 2%
28Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -19% and +19%
Brightness: Between 0% and +25%
Exposure: Between -17% and +17%
Noise: Up to 1% of pixels