RESNET50 (PRODUCT)

This is pretrained model that will predict animals name and families and can predict different objects.

Product Specifications

DataSets Trained:

Algorithm:

R-CNN

Description:

This is pretrained model that will predict animals name and families and can predict different objects.

Status:

Tested & Verified

Seller Information

Team aimodelplace.com IRON

(2 Reviews)

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Description

Architectural Overview

Based on the Residual Network (ResNet-50) architecture, this model utilizes "skip connections" to allow for deep layering without the vanishing gradient problem. It is a robust, general-purpose image classifier trained on the ImageNet dataset.

Detection Capabilities

This model excels at identifying name and family classifications for animals, as well as hundreds of everyday household and industrial objects.

Note: This is a versatile base model, perfect for Transfer Learning or immediate deployment as a general classifier.

Integration Guide

import torch
model = torch.hub.load("pytorch/vision", "resnet50", pretrained=True)

Live Deployment Sandbox

Online

API Integration Guide

curl --location 'https://api.aimodelplace.com/api/v1/predict' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--form 'model_slug="resnet50_2"' \
--form 'file=@"/path/to/your/image.png"'

Successful response format (JSON):

{
    "success": true,
    "latencyMs": 43,
    "predictions": [
        {
            "label": "Fire",
            "confidence": 0.98
        }
    ],
    "tokens_consumed": 1,
    "balance_remaining": 578,
    "recognized_object": "Fire"
}

For more detailed parameters and SDK examples, visit our Full API Documentation.