waste-detection Image Dataset
Versions
2023-12-03 10:29pm
v10
Dec 3, 2023
2023-12-01 1:06am
v9
Nov 30, 2023
2023-11-04 9:51pm
v8
Nov 4, 2023
2023-11-04 9:21pm
v7
Nov 4, 2023
2023-09-23 4:13pm
v6
Sep 23, 2023
2023-09-23 2:56pm
v5
Sep 23, 2023
2023-09-23 12:25pm
v4
Sep 23, 2023
2023-09-22 10:34pm
v3
Sep 22, 2023
2023-09-22 9:35pm
v2
Sep 22, 2023
2023-09-22 9:21pm
v1
Sep 22, 2023
v9
2023-12-01 1:06am
Generated on Nov 30, 2023
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.
7626 Total Images
View All Images
Dataset Split
Train Set 88%
6684Images
Valid Set 8%
628Images
Test Set 4%
314Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 7 boxes with 3% size each
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