aluminum can Image Dataset
Versions
2024-05-15 9:34am
v10
May 15, 2024
2024-05-08 11:05am
v9
May 8, 2024
2024-05-06 9:02pm
v8
May 6, 2024
2024-05-06 8:54pm
v7
May 6, 2024
2024-05-04 12:15am
v6
May 3, 2024
2024-04-13 1:26pm
v5
Apr 13, 2024
2024-04-13 12:22pm
v3
Apr 13, 2024
2024-04-13 10:44am
v2
Apr 13, 2024
2024-04-12 10:54pm
v1
Apr 12, 2024
v5
2024-04-13 1:26pm
Generated on Apr 13, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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.
4798 Total Images
View All ImagesDataset Split
Train Set 87%
4197Images
Valid Set 9%
415Images
Test Set 4%
186Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
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