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manifest.json
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// This file is used to set model zoo visibility on STM32Cube.AI Developer Cloud
[
{
"name": "./image_classification/pretrained_models/efficientnet/ST_pretrainedmodel_public_dataset/flowers/st_efficientnet_lc_v1_128_tfs/st_efficientnet_lc_v1_128_tfs_int8.tflite",
"description": "ST Efficientnet low complexity 128 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/efficientnet/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/efficientnet/ST_pretrainedmodel_public_dataset/flowers/st_efficientnet_lc_v1_224_tfs/st_efficientnet_lc_v1_224_tfs_int8.tflite",
"description": "ST Efficientnet 224 low complexity trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/efficientnet/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/fdmobilenet/ST_pretrainedmodel_public_dataset/flowers/fdmobilenet_0.25_128_tfs/fdmobilenet_0.25_128_tfs_int8.tflite",
"description": "FdMobileNet 0.25 128 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/fdmobilenet/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/fdmobilenet/ST_pretrainedmodel_public_dataset/flowers/fdmobilenet_0.25_224_tfs/fdmobilenet_0.25_224_tfs_int8.tflite",
"description": "FdMobileNet 0.25 224 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/fdmobilenet/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/fdmobilenet/ST_pretrainedmodel_public_dataset/flowers/st_fdmobilenet_v1_128_tfs/st_fdmobilenet_v1_128_tfs_int8.tflite",
"description": "ST FdMobileNet 128 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/fdmobilenet/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/fdmobilenet/ST_pretrainedmodel_public_dataset/flowers/st_fdmobilenet_v1_224_tfs/st_fdmobilenet_v1_224_tfs_int8.tflite",
"description": "ST FdMobileNet 224 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/fdmobilenet/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/stmnist/ST_pretrainedmodel_public_dataset/emnist_byclass/st_mnist_v1_28_tfs/st_mnist_v1_28_tfs_int8.tflite",
"description": "ST MNIST trained from scratch on EMNIST-Byclass with 36 classes",
"usecase": "image_classification",
"dataset_used": "emnist_byclass",
"readme": "./image_classification/pretrained_models/stmnist/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv1/ST_pretrainedmodel_public_dataset/flowers/mobilenet_v1_0.5_224_fft/mobilenet_v1_0.5_224_fft_int8.tflite",
"description": "MobileNetv1 0.5 224 trained with full fine tuning on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/mobilenetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv1/ST_pretrainedmodel_public_dataset/flowers/mobilenet_v1_0.25_96_fft/mobilenet_v1_0.25_96_fft_int8.tflite",
"description": "MobileNetv1 0.25 96 trained with full fine tuning on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/mobilenetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv1/ST_pretrainedmodel_public_dataset/flowers/mobilenet_v1_0.25_96_grayscale_tfs/mobilenet_v1_0.25_96_grayscale_tfs_int8.tflite",
"description": "MobileNetv1 0.25 96 grayscale trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/mobilenetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv1/ST_pretrainedmodel_public_dataset/flowers/mobilenet_v1_0.25_224_fft/mobilenet_v1_0.25_224_fft_int8.tflite",
"description": "MobileNetv1 0.25 224 trained with full fine tuning on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/mobilenetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv2/ST_pretrainedmodel_public_dataset/flowers/mobilenet_v2_0.35_128_fft/mobilenet_v2_0.35_128_fft_int8.tflite",
"description": "MobileNetv2 0.35 128 trained with full fine tuning on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/mobilenetv2/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv2/ST_pretrainedmodel_public_dataset/flowers/mobilenet_v2_0.35_224_fft/mobilenet_v2_0.35_224_fft_int8.tflite",
"description": "MobileNetv2 0.35 224 trained with full fine tuning on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/mobilenetv2/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/mobilenetv2/ST_pretrainedmodel_public_dataset/person/mobilenet_v2_0.35_128_fft/mobilenet_v2_0.35_128_fft.h5",
"description": "MobileNetv2 0.35 128 trained with full fine tuning on Person (derived from COCO-2014) with 2 classes",
"usecase": "image_classification",
"dataset_used": "person",
"readme": "./image_classification/pretrained_models/mobilenetv2/README.md",
"visible": false
},
{
"name": "./image_classification/pretrained_models/mobilenetv2/ST_pretrainedmodel_public_dataset/person/mobilenet_v2_0.35_128_fft/mobilenet_v2_0.35_128_fft_int8.tflite",
"description": "MobileNetv2 0.35 128 trained with full fine tuning on Person (derived from COCO-2014) with 2 classes",
"usecase": "image_classification",
"dataset_used": "person",
"readme": "./image_classification/pretrained_models/mobilenetv2/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/resnetv1/ST_pretrainedmodel_public_dataset/cifar10/resnet_v1_8_32_tfs/resnet_v1_8_32_tfs.h5",
"description": "ResNetv1 8 32 trained from scratch on Cifar10 with 10 classes",
"usecase": "image_classification",
"dataset_used": "cifar10",
"readme": "./image_classification/pretrained_models/resnetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/resnetv1/ST_pretrainedmodel_public_dataset/cifar10/resnet_v1_8_32_tfs/resnet_v1_8_32_tfs_int8.tflite",
"description": "ST Hybrid ResNet 8 32 v1 trained from scratch on Cifar10 with 10 classes",
"usecase": "image_classification",
"dataset_used": "cifar10",
"readme": "./image_classification/pretrained_models/resnetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/resnetv1/ST_pretrainedmodel_public_dataset/cifar10/st_resnet_8_hybrid_v1_32_tfs/st_resnet_8_hybrid_v1_32_tfs.h5",
"description": "ST Hybrid ResNet 8 32 v2 trained from scratch on Cifar10 with 10 classes",
"usecase": "image_classification",
"dataset_used": "cifar10",
"readme": "./image_classification/pretrained_models/resnetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/resnetv1/ST_pretrainedmodel_public_dataset/cifar10/st_resnet_8_hybrid_v2_32_tfs/st_resnet_8_hybrid_v2_32_tfs.h5",
"description": "ResNetv1 8 32 trained from scratch on Cifar10 with 10 classes",
"usecase": "image_classification",
"dataset_used": "cifar10",
"readme": "./image_classification/pretrained_models/resnetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/resnetv1/ST_pretrainedmodel_public_dataset/cifar100/resnet_v1_32_32_tfs/resnet_v1_32_32_tfs_int8.tflite",
"description": "ResNetv1 32 32 trained from scratch on Cifar100 with 100 classes",
"usecase": "image_classification",
"dataset_used": "cifar100",
"readme": "./image_classification/pretrained_models/resnetv1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/squeezenetv1.1/ST_pretrainedmodel_public_dataset/flowers/squeezenetv1.1_128_tfs/squeezenetv1.1_128_tfs_int8.tflite",
"description": "SqueezeNetv1.1 128 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/squeezenetv1.1/README.md",
"visible": true
},
{
"name": "./image_classification/pretrained_models/squeezenetv1.1/ST_pretrainedmodel_public_dataset/flowers/squeezenetv1.1_224_tfs/squeezenetv1.1_224_tfs_int8.tflite",
"description": "SqueezeNetv1.1 224 trained from scratch on flowers with 5 classes",
"usecase": "image_classification",
"dataset_used": "flowers",
"readme": "./image_classification/pretrained_models/squeezenetv1.1/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/st_ssd_mobilenet_v1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_ssd_mobilenet_v1_025_192/st_ssd_mobilenet_v1_025_192_int8.tflite",
"description": "ST version of SSD Mobilenetv1 0.25 192 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/st_ssd_mobilenet_v1/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/st_ssd_mobilenet_v1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_ssd_mobilenet_v1_025_224/st_ssd_mobilenet_v1_025_224_int8.tflite",
"description": "ST version of SSD Mobilenetv1 0.25 224 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/st_ssd_mobilenet_v1/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/st_ssd_mobilenet_v1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_ssd_mobilenet_v1_025_256/st_ssd_mobilenet_v1_025_256_int8.tflite",
"description": "ST version of SSD Mobilenetv1 0.25 256 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/st_ssd_mobilenet_v1/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_mobilenet_v2_fpnlite_035_192/ssd_mobilenet_v2_fpnlite_035_192_int8.tflite",
"description": "SSD Mobilenetv2 0.35 192 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_mobilenet_v2_fpnlite_035_224/ssd_mobilenet_v2_fpnlite_035_224_int8.tflite",
"description": "SSD Mobilenetv2 0.35 224 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_mobilenet_v2_fpnlite_035_256/ssd_mobilenet_v2_fpnlite_035_256_int8.tflite",
"description": "SSD Mobilenetv2 0.35 256 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_mobilenet_v2_fpnlite_035_416/ssd_mobilenet_v2_fpnlite_035_416_int8.tflite",
"description": "SSD Mobilenetv2 0.35 416 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/tiny_yolo_v2/ST_pretrainedmodel_public_dataset/coco_2017_person/tiny_yolo_v2_224/tiny_yolo_v2_224_int8.tflite",
"description": "tiny yolo v2 224 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/tiny_yolo_v2/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/tiny_yolo_v2/ST_pretrainedmodel_public_dataset/coco_2017_person/tiny_yolo_v2_416/tiny_yolo_v2_416_int8.tflite",
"description": "tiny yolo v2 416 trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/tiny_yolo_v2/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/st_yolo_lc_v1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_lc_v1_192/st_yolo_lc_v1_192_int8.tflite",
"description": "ST yolo low complexity v1 192 (derived from tiny yolo v2) trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/st_yolo_lc_v1/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/st_yolo_lc_v1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_lc_v1_224/st_yolo_lc_v1_224_int8.tflite",
"description": "ST yolo low complexity v1 224 (derived from tiny yolo v2) trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/st_yolo_lc_v1/README.md",
"visible": true
},
{
"name": "./object_detection/pretrained_models/st_yolo_lc_v1/ST_pretrainedmodel_public_dataset/coco_2017_person/st_yolo_lc_v1_256/st_yolo_lc_v1_256_int8.tflite",
"description": "ST yolo low complexity v1 256 (derived from tiny yolo v2) trained on COCO 2017 (Person Detection) with 1 class",
"usecase": "object_detection",
"dataset_used": "COCO 2017",
"readme": "./object_detection/pretrained_models/st_yolo_lc_v1/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/miniresnet/ST_pretrainedmodel_public_dataset/esc10/miniresnet_1stacks_64x50_tl/miniresnet_1stacks_64x50_tl_int8.tflite",
"description": "MiniResNet 1 stacks 64x50 trained on ESC-10 with 10 classes",
"usecase": "audio_event_detection",
"dataset_used": "esc10",
"readme": "./audio_event_detection/pretrained_models/miniresnet/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/miniresnet/ST_pretrainedmodel_public_dataset/esc10/miniresnet_2stacks_64x50_tl/miniresnet_2stacks_64x50_tl_int8.tflite",
"description": "MiniResNet 2 stacks 64x50 trained on ESC-10 with 10 classes",
"usecase": "audio_event_detection",
"dataset_used": "esc10",
"readme": "./audio_event_detection/pretrained_models/miniresnet/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/miniresnetv2/ST_pretrainedmodel_public_dataset/esc10/miniresnetv2_1stacks_64x50_tl/miniresnetv2_1stacks_64x50_tl_int8.tflite",
"description": "MiniResNetv2 1 stacks 64x50 trained on ESC-10 with 10 classes",
"usecase": "audio_event_detection",
"dataset_used": "esc10",
"readme": "./audio_event_detection/pretrained_models/miniresnetv2/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/miniresnetv2/ST_pretrainedmodel_public_dataset/esc10/miniresnetv2_2stacks_64x50_tl/miniresnetv2_2stacks_64x50_tl_int8.tflite",
"description": "MiniResNetv2 2 stacks 64x50 trained on ESC-10 with 10 classes",
"usecase": "audio_event_detection",
"dataset_used": "esc10",
"readme": "./audio_event_detection/pretrained_models/miniresnetv2/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/yamnet/ST_pretrainedmodel_public_dataset/esc10/yamnet_256_64x96_tl/yamnet_256_64x96_tl_int8.tflite",
"description": "Yamnet 256 64x96 trained on ESC-10 with 10 classes",
"usecase": "audio_event_detection",
"dataset_used": "esc10",
"readme": "./audio_event_detection/pretrained_models/yamnet/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/yamnet/ST_pretrainedmodel_public_dataset/fsd50k/yamnet_256_64x96_tl/without_unknown_class/yamnet_256_64x96_tl_int8.tflite",
"description": "Yamnet 256 64x96 trained on FSD50K with 5 classes",
"usecase": "audio_event_detection",
"dataset_used": "fsd50k",
"readme": "./audio_event_detection/pretrained_models/yamnet/README.md",
"visible": true
},
{
"name": "./audio_event_detection/pretrained_models/yamnet/ST_pretrainedmodel_public_dataset/fsd50k/yamnet_256_64x96_tl/with_unknown_class/yamnet_256_64x96_tl_int8.tflite",
"description": "Yamnet 256 64x96 trained on FSD50K with 5 classes, with an additional 'unknown' class",
"usecase": "audio_event_detection",
"dataset_used": "fsd50k",
"readme": "./audio_event_detection/pretrained_models/yamnet/README.md",
"visible": true
},
{
"name": "./human_activity_recognition/pretrained_models/gmp/ST_pretrainedmodel_public_dataset/WISDM/gmp_wl_24/gmp_wl_24.h5",
"description": "GMP 24x3 trained on WISDM with 4 classes",
"usecase": "human_activity_recognition",
"dataset_used": "WISDM",
"readme": "./human_activity_recognition/pretrained_models/gmp/README.md",
"visible": true
},
{
"name": "./human_activity_recognition/pretrained_models/gmp/ST_pretrainedmodel_public_dataset/WISDM/gmp_wl_48/gmp_wl_48.h5",
"description": "GMP 48x3 trained on WISDM with 4 classes",
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},
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"usecase": "human_activity_recognition",
"dataset_used": "WISDM",
"readme": "./human_activity_recognition/pretrained_models/ign/README.md",
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},
{
"name": "./human_activity_recognition/pretrained_models/ign/ST_pretrainedmodel_public_dataset/WISDM/ign_wl_48/ign_wl_48.h5",
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"usecase": "human_activity_recognition",
"dataset_used": "WISDM",
"readme": "./human_activity_recognition/pretrained_models/ign/README.md",
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"usecase": "hand_posture",
"dataset_used": "ST_VL53L5CX_handposture_dataset",
"readme": "./hand_posture/pretrained_models/CNN2D_ST_HandPosture/README.md",
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},
{
"name": "./hand_posture/pretrained_models/CNN2D_ST_HandPosture/ST_pretrainedmodel_custom_dataset/ST_VL53L8CX_handposture_dataset/CNN2D_ST_HandPosture_8classes/CNN2D_ST_HandPosture_8classes.h5",
"description": "CNN2D_ST_HandPosture 8 postures trained on ST_VL53L8CX_handposture_dataset with 8 classes",
"usecase": "hand_posture",
"dataset_used": "ST_VL53L8CX_handposture_dataset",
"readme": "./hand_posture/pretrained_models/CNN2D_ST_HandPosture/README.md",
"visible": true
}
]